{"id":301,"date":"2021-07-14T15:59:10","date_gmt":"2021-07-14T15:59:10","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/chapter\/section-exercises-4\/"},"modified":"2023-12-05T09:44:11","modified_gmt":"2023-12-05T09:44:11","slug":"section-exercises-4","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/chapter\/section-exercises-4\/","title":{"raw":"Section Exercises","rendered":"Section Exercises"},"content":{"raw":"<h2>Facts About the Chi-Square Distribution - Practice<\/h2>\r\n<section id=\"eip-461\" class=\"practice\" data-depth=\"1\">\r\n<div id=\"eip-600\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n1. If the number of degrees of freedom for a chi-square distribution is 25, what is the population mean and standard deviation?\r\n\r\n<\/div>\r\n<div class=\"solution\" data-type=\"solution\">2. If <em data-effect=\"italics\">df<\/em> &gt; 90, the distribution is _____________. If <em data-effect=\"italics\">df<\/em> = 15, the distribution is ________________.<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-827\">3. When does the chi-square curve approximate a normal distribution?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-922\">4. Where is <em data-effect=\"italics\">\u03bc<\/em> located on a chi-square curve?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-112\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-96\">5. Is it more likely the <em data-effect=\"italics\">df<\/em> is 90, 20, or two in the graph?<\/p>\r\n\r\n<figure id=\"eip-idm89632480\"><span id=\"eip-idm149706320\" data-type=\"media\" data-alt=\"This is a nonsymmetrical chi-square curve which slopes downward continually.\"><img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/132\/2016\/04\/21214805\/CNX_Stats_C11_M03_item001.jpg\" alt=\"This is a nonsymmetrical chi-square curve which slopes downward continually.\" width=\"280\" data-media-type=\"image\/jpeg\" \/><\/span><\/figure>\r\n<\/div>\r\n<div id=\"eip-300\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<\/section><section id=\"fs-idm36620848\" class=\"free-response\" data-depth=\"1\">\r\n<h2>Goodness-of-Fit Test - Practice<\/h2>\r\n<em data-effect=\"italics\">Determine the appropriate test to be used in the next three exercises.<\/em>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n6. An archeologist is calculating the distribution of the frequency of the number of artifacts she finds in a dig site. Based on previous digs, the archeologist creates an expected distribution broken down by grid sections in the dig site. Once the site has been fully excavated, she compares the actual number of artifacts found in each grid section to see if her expectation was accurate.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-958\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-19\">7. An economist is deriving a model to predict outcomes in the stock market. He creates a list of expected points on the stock market index for the next two weeks. At the close of each day\u2019s trading, he records the actual points on the index. He wants to see how well his model matched what actually happened.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-89\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-452\" class=\"problem\" data-type=\"problem\">\r\n\r\n8. A personal trainer is putting together a weight-lifting program for her clients. For a 90-day program, she expects each client to lift a specific maximum weight each week. As she goes along, she records the actual maximum weights her clients lifted. She wants to know how well her expectations met with what was observed.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<em data-effect=\"italics\">Use the following information to answer the next five exercises:<\/em> A teacher predicts what the distribution of grades on the final exam will be and they are recorded in the table.\r\n<table id=\"fs-idm120960208\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Grade<\/th>\r\n<th>Proportion<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>A<\/td>\r\n<td>0.25<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>B<\/td>\r\n<td>0.30<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>C<\/td>\r\n<td>0.35<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>D<\/td>\r\n<td>0.10<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p id=\"eip-idm224726288\">The actual distribution for a class of 20 is in the table below.<\/p>\r\n\r\n<table id=\"fs-idp30286112\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Grade<\/th>\r\n<th>Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>A<\/td>\r\n<td>7<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>B<\/td>\r\n<td>7<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>C<\/td>\r\n<td>5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>D<\/td>\r\n<td>1<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div id=\"eip-760\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-368\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-idp101712960\"><span id=\"MathJax-Element-221-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-4976\" class=\"math\"><span id=\"MathJax-Span-4977\" class=\"mrow\"><span id=\"MathJax-Span-4978\" class=\"semantics\"><span id=\"MathJax-Span-4979\" class=\"mrow\"><span id=\"MathJax-Span-4980\" class=\"mrow\"><span id=\"MathJax-Span-4981\" class=\"mi\">9. d<\/span><span id=\"MathJax-Span-4982\" class=\"mi\">f<\/span><span id=\"MathJax-Span-4983\" class=\"mo\">=<\/span><\/span><\/span><\/span><\/span><\/span><\/span> ______<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-642\">10. State the null and alternative hypotheses.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-462\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n11<em data-effect=\"italics\">. \u03c7<sup>2<\/sup><\/em> test statistic = ______\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-823\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n<em data-effect=\"italics\">12. p<\/em>-value = ______\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-873\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n13. At the 5% significance level, what can you conclude?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<em data-effect=\"italics\">Use the following information to answer the next nine exercises:<\/em> The following data are real. The cumulative number of AIDS cases reported for Santa Clara County is broken down by ethnicity as in the table below.\r\n<table summary=\"This table shows the ethnicity in the first column and the number of cases in the second column. There are 5 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Ethnicity<\/th>\r\n<th>Number of Cases<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>White<\/td>\r\n<td>2,229<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Hispanic<\/td>\r\n<td>1,157<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Black\/African-American<\/td>\r\n<td>457<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Asian, Pacific Islander<\/td>\r\n<td>232<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td>Total = 4,075<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nThe percentage of each ethnic group in Santa Clara County is as in the table below.\r\n<table summary=\"This is a partially filled table with ethnicity in the first column, percentage of total county population in the second column, and expected number in the third column. Only the first row of the third column is filled up.\">\r\n<thead>\r\n<tr>\r\n<th>Ethnicity<\/th>\r\n<th>Percentage of total county population<\/th>\r\n<th>Number expected (round to two decimal places)<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>White<\/td>\r\n<td>42.9%<\/td>\r\n<td>1748.18<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Hispanic<\/td>\r\n<td>26.7%<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Black\/African-American<\/td>\r\n<td>2.6%<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Asian, Pacific Islander<\/td>\r\n<td>27.8%<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><\/td>\r\n<td>Total = 100%<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div id=\"fs-idm118784352\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idm118784096\" class=\"problem\" data-type=\"problem\">\r\n\r\n14. If the ethnicities of AIDS victims followed the ethnicities of the total county population, fill in the expected number of cases per ethnic group.\u00a0<em data-effect=\"italics\">Perform a goodness-of-fit test to determine whether the occurrence of AIDS cases follows the ethnicities of the general population of Santa Clara County.<\/em>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id45907502\" class=\"problem\" data-type=\"problem\">\r\n\r\n15<em data-effect=\"italics\">. H<sub>0<\/sub><\/em>: _______\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id45907589\" class=\"problem\" data-type=\"problem\">\r\n\r\n16<em data-effect=\"italics\">. H<sub>a<\/sub><\/em>: _______\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id45907668\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-56\">17. Is this a right-tailed, left-tailed, or two-tailed test?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id45907696\" class=\"problem\" data-type=\"problem\">\r\n\r\n18. degrees of freedom = _______\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-575\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id42755491\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-840\">19<em data-effect=\"italics\">. \u03c7<sup>2<\/sup><\/em> test statistic = _______<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-64\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id42755565\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-836\">20<em data-effect=\"italics\">. p<\/em>-value = _______<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idp52863376\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id42755611\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-947\">21. Graph the situation. Label and scale the horizontal axis. Mark the mean and test statistic. Shade in the region corresponding to the <em data-effect=\"italics\">p<\/em>-value.<\/p>\r\n\r\n<figure id=\"eip-idm27194112\"><span id=\"id42755639\" data-type=\"media\" data-alt=\"This is a blank graph template. The vertical and horizontal axes are unlabeled.\" data-display=\"block\"><img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/132\/2016\/04\/21214806\/fig-ch11_10_01.jpg\" alt=\"This is a blank graph template. The vertical and horizontal axes are unlabeled.\" width=\"380\" data-media-type=\"image\/png\" \/><\/span><\/figure>\r\n<p id=\"element-996\">Let <em data-effect=\"italics\">\u03b1<\/em> = 0.05<\/p>\r\n\r\n<ol>\r\n \t<li id=\"element-369\">Decision: ________________<\/li>\r\n \t<li>Reason for the Decision: ________________<\/li>\r\n \t<li>Conclusion (write out in complete sentences): ________________<\/li>\r\n<\/ol>\r\n<\/div>\r\n<div id=\"fs-idm23466992\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div id=\"exerciseoneserd\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id42755737\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-493\">22. Does it appear that the pattern of AIDS cases in Santa Clara County corresponds to the distribution of ethnic groups in this county? Why or why not?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<\/section>\r\n<h2>Test of Independence - Practice<\/h2>\r\n<p id=\"eip-idp65377328\"><em data-effect=\"italics\">Determine the appropriate test to be used in the next three exercises.<\/em><\/p>\r\n\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-796\" class=\"problem\" data-type=\"problem\">\r\n\r\n23. A pharmaceutical company is interested in the relationship between age and presentation of symptoms for a common viral infection. A random sample is taken of 500 people with the infection across different age groups.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-703\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n24. The owner of a baseball team is interested in the relationship between player salaries and the team winning percentage. He takes a random sample of 100 players from different organizations.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-46\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n25. A marathon runner is interested in the relationship between the brand of shoes runners wear and their run times. She takes a random sample of 50 runners and records their run times as well as the brand of shoes they were wearing.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<em data-effect=\"italics\">Use the following information to answer the next seven exercises:<\/em> Transit Railroads is interested in the relationship between travel distance and the ticket class purchased. A random sample of 200 passengers is taken. The table below\u00a0shows the results. The railroad wants to know if a passenger\u2019s choice in ticket class is independent of the distance they must travel.\r\n<table id=\"eip-956\" summary=\"..\">\r\n<thead>\r\n<tr>\r\n<th>Traveling Distance<\/th>\r\n<th>Third class<\/th>\r\n<th>Second class<\/th>\r\n<th>First class<\/th>\r\n<th>Total<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>1\u2013100 miles<\/td>\r\n<td>21<\/td>\r\n<td>14<\/td>\r\n<td>6<\/td>\r\n<td>41<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>101\u2013200 miles<\/td>\r\n<td>18<\/td>\r\n<td>16<\/td>\r\n<td>8<\/td>\r\n<td>42<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>201\u2013300 miles<\/td>\r\n<td>16<\/td>\r\n<td>17<\/td>\r\n<td>15<\/td>\r\n<td>48<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>301\u2013400 miles<\/td>\r\n<td>12<\/td>\r\n<td>14<\/td>\r\n<td>21<\/td>\r\n<td>47<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>401\u2013500 miles<\/td>\r\n<td>6<\/td>\r\n<td>6<\/td>\r\n<td>10<\/td>\r\n<td>22<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Total<\/td>\r\n<td>73<\/td>\r\n<td>67<\/td>\r\n<td>60<\/td>\r\n<td>200<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n26. State the hypotheses.\r\n<ul>\r\n \t<li><em data-effect=\"italics\">\u00a0H<sub>0<\/sub><\/em>: _______<\/li>\r\n \t<li><em data-effect=\"italics\">\u00a0H<sub>a<\/sub><\/em>: _______<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-131\" class=\"problem\" data-type=\"problem\">\r\n\r\n27<em data-effect=\"italics\">. df<\/em> = _______\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-276\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-282\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-952\">28. How many passengers are expected to travel between 201 and 300 miles and purchase second-class tickets?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-799\">29. How many passengers are expected to travel between 401 and 500 miles and purchase first-class tickets?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-364\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-857\" class=\"problem\" data-type=\"problem\">\r\n\r\n30. What is the test statistic?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-811\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-646\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-575\">31. What is the <em data-effect=\"italics\">p<\/em>-value?<\/p>\r\n\r\n<\/div>\r\n<div id=\"eip-554\" class=\"solution\" data-type=\"solution\">32. What can you conclude at the 5% level of significance?<\/div>\r\n<\/section><\/div>\r\n<div data-type=\"newline\"><\/div>\r\n<em data-effect=\"italics\">Use the following information to answer the next eight exercises:<\/em> An article in the New England Journal of Medicine discussed a study on smokers in California and Hawaii. In one part of the report, the self-reported ethnicity and smoking levels per day were given. Of the people smoking at most ten cigarettes per day, there were 9,886 African Americans, 2,745 Native Hawaiians, 12,831 Latinos, 8,378 Japanese Americans, and 7,650 Whites. Of the people smoking 11 to 20 cigarettes per day, there were 6,514 African Americans, 3,062 Native Hawaiians, 4,932 Latinos, 10,680 Japanese Americans, and 9,877 Whites. Of the people smoking 21 to 30 cigarettes per day, there were 1,671 African Americans, 1,419 Native Hawaiians, 1,406 Latinos, 4,715 Japanese Americans, and 6,062 Whites. Of the people smoking at least 31 cigarettes per day, there were 759 African Americans, 788 Native Hawaiians, 800 Latinos, 2,305 Japanese Americans, and 3,970 Whites.\r\n<div id=\"fs-idm12518016\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idp16845632\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-idp205148416\">33. Complete the table.<\/p>\r\n\r\n<table summary=\"This is a partially filled observation table with Ethnicity for the columns (2nd to 6th) and Total for the seventh column. The smoking level (4 rows) and the total constitute the rows of the table. 30 blank cells are available.\"><caption><span data-type=\"title\">Smoking Levels by Ethnicity (Observed)<\/span><\/caption><colgroup> <col data-width=\"150\" \/> <col data-width=\"120\" \/> <col data-width=\"120\" \/> <col data-width=\"80\" \/> <col data-width=\"150\" \/> <col data-width=\"80\" \/> <col data-width=\"80\" \/><\/colgroup>\r\n<thead>\r\n<tr>\r\n<th data-align=\"center\">Smoking Level Per Day<\/th>\r\n<th data-align=\"center\">African American<\/th>\r\n<th data-align=\"center\">Native Hawaiian<\/th>\r\n<th data-align=\"center\">Latino<\/th>\r\n<th data-align=\"center\">Japanese Americans<\/th>\r\n<th data-align=\"center\">White<\/th>\r\n<th data-align=\"center\">TOTALS<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>1-10<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>11-20<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>21-30<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>31+<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>TOTALS<\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idm6558000\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idp51845072\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idp65899264\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-842abc\">34. State the hypotheses.<\/p>\r\n\r\n<ul>\r\n \t<li><em data-effect=\"italics\">H<sub>0<\/sub><\/em>: _______<\/li>\r\n \t<li><em data-effect=\"italics\">H<sub>a<\/sub><\/em>: _______<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idp153986240\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idp153898880\" class=\"problem\" data-type=\"problem\">\r\n\r\n35. Enter expected values in the table above. Round to two decimal places.\r\n<p id=\"eip-idm129023760\">Calculate the following values:<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id13657036\" class=\"problem\" data-type=\"problem\">\r\n\r\n36<em data-effect=\"italics\">. df<\/em> = _______\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id3392008\" class=\"problem\" data-type=\"problem\">\r\n\r\n<span id=\"MathJax-Element-247-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-5352\" class=\"math\"><span id=\"MathJax-Span-5353\" class=\"mrow\"><span id=\"MathJax-Span-5354\" class=\"semantics\"><span id=\"MathJax-Span-5355\" class=\"mrow\"><span id=\"MathJax-Span-5356\" class=\"mrow\"><span id=\"MathJax-Span-5357\" class=\"msup\"><span id=\"MathJax-Span-5358\" class=\"mi\">37. \u03c7<\/span><span id=\"MathJax-Span-5359\" class=\"mtext\">2<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> test statistic = ______\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-151\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id13677856\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-267\">38<em data-effect=\"italics\">. p<\/em>-value = ______<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id13507289\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-78\">39. Is this a right-tailed, left-tailed, or two-tailed test? Explain why.<\/p>\r\n\r\n<\/div>\r\n<div id=\"id12956247\" class=\"solution\" data-type=\"solution\">40. Graph the situation. Label and scale the horizontal axis. Mark the mean and test statistic. Shade in the region corresponding to the <em data-effect=\"italics\">p<\/em>-value.<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-651\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id13510518\" class=\"problem\" data-type=\"problem\">\r\n<figure id=\"fs-idp37466400\"><span id=\"id10494834\" data-type=\"media\" data-display=\"block\" data-alt=\"Blank graph with vertical and horizontal axes.\"><img src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/132\/2016\/04\/21214808\/fig-ch11_11_01.jpg\" alt=\"Blank graph with vertical and horizontal axes.\" width=\"380\" data-media-type=\"image\/jpg\" \/><\/span><\/figure>\r\n<\/div>\r\n<\/section><\/div>\r\nState the decision and conclusion (in a complete sentence) for the following preconceived levels of <em data-effect=\"italics\">\u03b1<\/em>.\r\n<div id=\"element-90\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id13505381\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-764\"><em data-effect=\"italics\">41. \u03b1<\/em> = 0.05<\/p>\r\n\r\n<ol data-number-style=\"lower-alpha\">\r\n \t<li>Decision: ___________________<\/li>\r\n \t<li>Reason for the decision: ___________________<\/li>\r\n \t<li>Conclusion (write out in a complete sentence): ___________________<\/li>\r\n<\/ol>\r\n<\/div>\r\n<div id=\"id10677600\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id12810548\" class=\"problem\" data-type=\"problem\">\r\n\r\n42<em data-effect=\"italics\">. \u03b1<\/em> = 0.01\r\n<ol id=\"list-23536277881\" data-mark-suffix=\".\" data-number-style=\"lower-alpha\">\r\n \t<li data-mark-suffix=\".\">Decision: ___________________<\/li>\r\n \t<li data-mark-suffix=\".\">Reason for the decision: ___________________<\/li>\r\n \t<li data-mark-suffix=\".\">Conclusion (write out in a complete sentence): ___________________<\/li>\r\n<\/ol>\r\n<\/div>\r\n<\/section><\/div>\r\n<h2>Test for Homogeneity - Practice<\/h2>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-973\">43. A math teacher wants to see if two of her classes have the same distribution of test scores. What test should she use?<\/p>\r\n\r\n<\/div>\r\n<div class=\"solution\" data-type=\"solution\">44. What are the null and alternative hypotheses for 74?<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-854\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n45. A market researcher wants to see if two different stores have the same distribution of sales throughout the year. What type of test should he use?\r\n\r\n<\/div>\r\n<div id=\"eip-309\" class=\"solution\" data-type=\"solution\">46. A meteorologist wants to know if East and West Australia have the same distribution of storms. What type of test should she use?<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-168\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-343\" class=\"problem\" data-type=\"problem\">\r\n\r\n47. What condition must be met to use the test for homogeneity?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<p id=\"eip-idp68604192\"><em data-effect=\"italics\">Use the following information to answer the next five exercises:<\/em> Do private practice doctors and hospital doctors have the same distribution of working hours? Suppose that a sample of 100 private practice doctors and 150 hospital doctors are selected at random and asked about the number of hours a week they work. The results are shown in the table.<\/p>\r\n\r\n<table id=\"eip-idm14786672\" summary=\"..\">\r\n<thead>\r\n<tr>\r\n<th><\/th>\r\n<th>20\u201330<\/th>\r\n<th>30\u201340<\/th>\r\n<th>40\u201350<\/th>\r\n<th>50\u201360<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Private Practice<\/td>\r\n<td>16<\/td>\r\n<td>40<\/td>\r\n<td>38<\/td>\r\n<td>6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Hospital<\/td>\r\n<td>8<\/td>\r\n<td>44<\/td>\r\n<td>59<\/td>\r\n<td>39<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-535\">48. State the null and alternative hypotheses.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-206\">49<em data-effect=\"italics\">. df<\/em> = _______<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n50. What is the test statistic?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-214\" class=\"problem\" data-type=\"problem\">\r\n\r\n51. What is the <em data-effect=\"italics\">p<\/em>-value?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-393\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-557\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-467\">52. What can you conclude at the 5% significance level?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<h2>Comparison of the Chi-Square Tests - Practice<\/h2>\r\n<section class=\"practice\" data-depth=\"1\">\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n53. Which test do you use to decide whether an observed distribution is the same as an expected distribution?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-684\" class=\"problem\" data-type=\"problem\">\r\n\r\n54. What is the null hypothesis for the type of test from 90?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-541\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-195\" class=\"problem\" data-type=\"problem\">\r\n\r\n55. Which test would you use to decide whether two factors have a relationship?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-795\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n56. Which test would you use to decide if two populations have the same distribution?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-830\">57. How are tests of independence similar to tests for homogeneity?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n58. How are tests of independence different from tests for homogeneity?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<\/section><section id=\"fs-idp35566032\" class=\"free-response\" data-depth=\"1\">\r\n<h2 id=\"fs-idm155789040\">Test of a Single Variance - Practice<\/h2>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n<em data-effect=\"italics\">Use the following information to answer the next three exercises:<\/em> An archer\u2019s standard deviation for his hits is six (data is measured in distance from the center of the target). An observer claims the standard deviation is less.\r\n\r\n59. What type of test should be used?\r\n\r\n<\/div>\r\n<div class=\"solution\" data-type=\"solution\">60. State the null and alternative hypotheses.<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-2\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-330\">61. Is this a right-tailed, left-tailed, or two-tailed test?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<em data-effect=\"italics\">Use the following information to answer the next three exercises:<\/em> The standard deviation of heights for students in a school is 0.81. A random sample of 50 students is taken, and the standard deviation of the heights of the sample is 0.96. A researcher in charge of the study believes the standard deviation of heights for the school is greater than 0.81.\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n62. What type of test should be used?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-721\" class=\"problem\" data-type=\"problem\">\r\n\r\n63. State the null and alternative hypotheses.\r\n\r\n<\/div>\r\n<div class=\"solution\" data-type=\"solution\"><span data-effect=\"italics\">64.\u00a0<\/span><em data-effect=\"italics\">df<\/em> = ________<\/div>\r\n<\/section><\/div>\r\n<div data-type=\"newline\"><\/div>\r\n<em data-effect=\"italics\">Use the following information to answer the next four exercises:<\/em> The average waiting time in a doctor\u2019s office varies. The standard deviation of waiting times in a doctor\u2019s office is 3.4 minutes. A random sample of 30 patients in the doctor\u2019s office has a standard deviation of waiting times of 4.1 minutes. One doctor believes the variance of waiting times is greater than originally thought.\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n65. What type of test should be used?\r\n\r\n<\/div>\r\n<div class=\"solution\" data-type=\"solution\">66. What is the test statistic?<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n67. What is the <em data-effect=\"italics\">p<\/em>-value?\r\n\r\n<\/div>\r\n<div id=\"eip-447\" class=\"solution\" data-type=\"solution\">68. What can you conclude at the 5% significance level?<\/div>\r\n<\/section><\/div>\r\n<\/section>\r\n<div data-type=\"solution\"><\/div>\r\n<h2 data-type=\"solution\">Facts About the Chi-Square Distribution - Homework<\/h2>\r\n<section id=\"fs-idm36620848\" class=\"free-response\" data-depth=\"1\">\r\n<p id=\"fs-idp40574880\"><em data-effect=\"italics\">Decide whether the following statements are true or false.<\/em><\/p>\r\n\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088269\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idm37824272\">69. As the number of degrees of freedom increases, the graph of the chi-square distribution looks more and more symmetrical.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-859\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088318\" class=\"problem\" data-type=\"problem\">\r\n\r\n70. The standard deviation of the chi-square distribution is twice the mean.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-389\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088366\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-110\">71. The mean and the median of the chi-square distribution are the same if <em data-effect=\"italics\">df<\/em> = 24.<\/p>\r\n\r\n<\/div>\r\n<h2>Goodness-of-Fit Test - Homework<\/h2>\r\n<section id=\"fs-idp86765760\" class=\"free-response\" data-depth=\"1\">\r\n<p id=\"element-731\"><em data-effect=\"italics\">For each problem, use a solution sheet to solve the hypothesis test problem. Go to <a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\">Appendix E\u00a0<\/a>for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\r\n\r\n<div id=\"fs-idp12253472\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20683006\" class=\"problem\" data-type=\"problem\">\r\n\r\n72. A six-sided die is rolled 120 times. Fill in the expected frequency column. Then, conduct a hypothesis test to determine if the die is fair. The data in the table below\u00a0are the result of the 120 rolls.\r\n<table id=\"id6180063\" summary=\"This partially filled table presents face value in the first column, frequency in the second column, and relative frequency in the blank third column. There are 6 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Face Value<\/th>\r\n<th>Frequency<\/th>\r\n<th>Expected Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>1<\/td>\r\n<td>15<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>29<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>16<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>15<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>30<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6<\/td>\r\n<td>15<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-340\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20662365\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-912\">73. The marital status distribution of the U.S. male population, ages 15 and older, is as shown in the table below.<\/p>\r\n\r\n<table id=\"id7856744\" summary=\"This table presents the marital status in the first column, the percent in the second column, and the expected frequency in the blank third column. There are 4 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Marital Status<\/th>\r\n<th>Percent<\/th>\r\n<th>Expected Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>never married<\/td>\r\n<td>31.3<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>married<\/td>\r\n<td>56.1<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>widowed<\/td>\r\n<td>2.5<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>divorced\/separated<\/td>\r\n<td>10.1<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p id=\"id7879714\">Suppose that a random sample of 400 U.S. young adult males, 18 to 24 years old, yielded the following frequency distribution. We are interested in whether this age group of males fits the distribution of the U.S. adult population. Calculate the frequency one would expect when surveying 400 people. Fill in the table, rounding to two decimal places.<\/p>\r\n\r\n<table id=\"id6962175\" summary=\"This table presents the marital status in the first column and the frequency in the second column. There are 4 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Marital Status<\/th>\r\n<th>Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>never married<\/td>\r\n<td>140<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>married<\/td>\r\n<td>238<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>widowed<\/td>\r\n<td>2<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>divorced\/separated<\/td>\r\n<td>20<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"id20567362\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<p id=\"id7851160\"><em data-effect=\"italics\">Use the following information to answer the next two exercises:<\/em> The columns in the table below\u00a0contain the Race\/Ethnicity of U.S. Public Schools for a recent year, the percentages for the Advanced Placement Examinee Population for that class, and the Overall Student Population. Suppose the right column contains the result of a survey of 1,000 local students from that year who took an AP Exam.<\/p>\r\n\r\n<table id=\"id6962388\" summary=\"This table presents the Race\/Ethnicity in the first column, AP Examinee Population in percentages in the second column, Overall Student Population in percentages in the third column, and Survey Frequency in the fourth column. There are six rows.\">\r\n<thead>\r\n<tr>\r\n<th>Race\/Ethnicity<\/th>\r\n<th>AP Examinee Population<\/th>\r\n<th>Overall Student Population<\/th>\r\n<th>Survey Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Asian, Asian American, or Pacific Islander<\/td>\r\n<td>10.2%<\/td>\r\n<td>5.4%<\/td>\r\n<td>113<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Black or African-American<\/td>\r\n<td>8.2%<\/td>\r\n<td>14.5%<\/td>\r\n<td>94<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Hispanic or Latino<\/td>\r\n<td>15.5%<\/td>\r\n<td>15.9%<\/td>\r\n<td>136<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>American Indian or Alaska Native<\/td>\r\n<td>0.6%<\/td>\r\n<td>1.2%<\/td>\r\n<td>10<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>White<\/td>\r\n<td>59.4%<\/td>\r\n<td>61.6%<\/td>\r\n<td>604<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Not reported\/other<\/td>\r\n<td>6.1%<\/td>\r\n<td>1.4%<\/td>\r\n<td>43<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<div id=\"element-683\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20664613\" class=\"problem\" data-type=\"problem\">\r\n\r\n74. Perform a goodness-of-fit test to determine whether the local results follow the distribution of the U.S. overall student population based on ethnicity.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id19495994\" class=\"problem\" data-type=\"problem\">\r\n\r\n75. Perform a goodness-of-fit test to determine whether the local results follow the distribution of the U.S. AP examinee population, based on ethnicity.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-371\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id19496210\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-268\">76. The City of South Lake Tahoe, CA, has an Asian population of 1,419 people, out of a total population of 23,609. Suppose that a survey of 1,419 self-reported Asians in the Manhattan, NY, area yielded the data in the table below. Conduct a goodness-of-fit test to determine if the self-reported sub-groups of Asians in the Manhattan area fit that of the Lake Tahoe area.<\/p>\r\n\r\n<table id=\"id7017535\" summary=\"The table shows race in the first column, Lake Tahoe frequency in the second column, and Manhattan frequency in the blank third column. There are 7 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Race<\/th>\r\n<th>Lake Tahoe Frequency<\/th>\r\n<th>Manhattan Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Asian Indian<\/td>\r\n<td>131<\/td>\r\n<td>174<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Chinese<\/td>\r\n<td>118<\/td>\r\n<td>557<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Filipino<\/td>\r\n<td>1,045<\/td>\r\n<td>518<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Japanese<\/td>\r\n<td>80<\/td>\r\n<td>54<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Korean<\/td>\r\n<td>12<\/td>\r\n<td>29<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Vietnamese<\/td>\r\n<td>9<\/td>\r\n<td>21<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Other<\/td>\r\n<td>24<\/td>\r\n<td>66<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<em data-effect=\"italics\">Use the following information to answer the next two exercises:<\/em> UCLA conducted a survey of more than 263,000 college freshmen from 385 colleges in fall 2005. The results of students' expected majors by gender were reported in <cite><span data-type=\"cite-title\">The Chronicle of Higher Education (2\/2\/2006)<\/span><\/cite>. Suppose a survey of 5,000 graduating females and 5,000 graduating males was done as a follow-up last year to determine what their actual majors were. The results are shown in the tables below. The second column in each table does not add to 100% because of rounding.\r\n<div id=\"element-465\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20689459\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idm7756464\">77. Conduct a goodness-of-fit test to determine if the actual college majors of graduating females fit the distribution of their expected majors.<\/p>\r\n\r\n<table id=\"id5962699\" summary=\"The table consists of college majors in the first column, expected major percentages for women in the second column and the actual number of women that chose that major in the third column.\">\r\n<thead>\r\n<tr>\r\n<th>Major<\/th>\r\n<th>Women - Expected Major<\/th>\r\n<th>Women - Actual Major<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Arts &amp; Humanities<\/td>\r\n<td>14.0%<\/td>\r\n<td>670<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Biological Sciences<\/td>\r\n<td>8.4%<\/td>\r\n<td>410<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Business<\/td>\r\n<td>13.1%<\/td>\r\n<td>685<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Education<\/td>\r\n<td>13.0%<\/td>\r\n<td>650<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Engineering<\/td>\r\n<td>2.6%<\/td>\r\n<td>145<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Physical Sciences<\/td>\r\n<td>2.6%<\/td>\r\n<td>125<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Professional<\/td>\r\n<td>18.9%<\/td>\r\n<td>975<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Social Sciences<\/td>\r\n<td>13.0%<\/td>\r\n<td>605<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Technical<\/td>\r\n<td>0.4%<\/td>\r\n<td>15<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Other<\/td>\r\n<td>5.8%<\/td>\r\n<td>300<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Undecided<\/td>\r\n<td>8.0%<\/td>\r\n<td>420<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"id20689866\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div id=\"element-100\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20689953\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-idp76093152\">78. Conduct a goodness-of-fit test to determine if the actual college majors of graduating males fit the distribution of their expected majors.<\/p>\r\n\r\n<table id=\"id7788155\" summary=\"The table consists of college majors in the first column, expected major percentages for men in the second column and the actual number of men that chose that major in the third column.\">\r\n<thead>\r\n<tr>\r\n<th>Major<\/th>\r\n<th>Men - Expected Major<\/th>\r\n<th>Men - Actual Major<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Arts &amp; Humanities<\/td>\r\n<td>11.0%<\/td>\r\n<td>600<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Biological Sciences<\/td>\r\n<td>6.7%<\/td>\r\n<td>330<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Business<\/td>\r\n<td>22.7%<\/td>\r\n<td>1130<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Education<\/td>\r\n<td>5.8%<\/td>\r\n<td>305<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Engineering<\/td>\r\n<td>15.6%<\/td>\r\n<td>800<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Physical Sciences<\/td>\r\n<td>3.6%<\/td>\r\n<td>175<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Professional<\/td>\r\n<td>9.3%<\/td>\r\n<td>460<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Social Sciences<\/td>\r\n<td>7.6%<\/td>\r\n<td>370<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Technical<\/td>\r\n<td>1.8%<\/td>\r\n<td>90<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Other<\/td>\r\n<td>8.2%<\/td>\r\n<td>400<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Undecided<\/td>\r\n<td>6.6%<\/td>\r\n<td>340<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<p id=\"fs-idm78408704\"><em data-effect=\"italics\">Read the statement and decide whether it is true or false.<\/em><\/p>\r\n\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088445\" class=\"problem\" data-type=\"problem\">\r\n\r\n79. In a goodness-of-fit test, the expected values are the values we would expect if the null hypothesis were true.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088495\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-639\">80. In general, if the observed values and expected values of a goodness-of-fit test are not close together, then the test statistic can get very large and on a graph will be way out in the right tail.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-473\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088594\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idm28021808\">81. Use a goodness-of-fit test to determine if high school principals believe that students are absent equally during the week or not.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088742\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-556\">82. The test to use to determine if a six-sided die is fair is a goodness-of-fit test.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-516\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088842\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-153\">83. In a goodness-of-fit test, if the <em data-effect=\"italics\">p<\/em>-value is 0.0113, in general, do not reject the null hypothesis.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n84. A sample of 212 commercial businesses was surveyed for recycling one commodity; a commodity here means any one type of recyclable material such as plastic or aluminum. the table below\u00a0shows the business categories in the survey, the sample size of each category, and the number of businesses in each category that recycle one commodity. Based on the study, on average half of the businesses were expected to be recycling one commodity. As a result, the last column shows the expected number of businesses in each category that recycle one commodity. At the 5% significance level, perform a hypothesis test to determine if the observed number of businesses that recycle one commodity follows the uniform distribution of the expected values.\r\n<table id=\"fs-idm103073456\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Business Type<\/th>\r\n<th>Number in class<\/th>\r\n<th>Observed Number that recycle one commodity<\/th>\r\n<th>Expected number that recycle one commodity<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Office<\/td>\r\n<td>35<\/td>\r\n<td>19<\/td>\r\n<td>17.5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Retail\/Wholesale<\/td>\r\n<td>48<\/td>\r\n<td>27<\/td>\r\n<td>24<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Food\/Restaurants<\/td>\r\n<td>53<\/td>\r\n<td>35<\/td>\r\n<td>26.5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Manufacturing\/Medical<\/td>\r\n<td>52<\/td>\r\n<td>21<\/td>\r\n<td>26<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Hotel\/Mixed<\/td>\r\n<td>24<\/td>\r\n<td>9<\/td>\r\n<td>12<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-152\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n85. The table below contains information from a survey among 499 participants classified according to their age groups. The second column shows the percentage of obese people per age class among the study participants. The last column comes from a different study at the national level that shows the corresponding percentages of obese people in the same age classes in the USA. Perform a hypothesis test at the 5% significance level to determine whether the survey participants are a representative sample of the USA obese population.\r\n<table id=\"fs-idm106414640\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Age Class (Years)<\/th>\r\n<th>Obese (Percentage)<\/th>\r\n<th>Expected USA average (Percentage)<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>20\u201330<\/td>\r\n<td>75.0<\/td>\r\n<td>32.6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>31\u201340<\/td>\r\n<td>26.5<\/td>\r\n<td>32.6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>41\u201350<\/td>\r\n<td>13.6<\/td>\r\n<td>36.6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>51\u201360<\/td>\r\n<td>21.9<\/td>\r\n<td>36.6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>61\u201370<\/td>\r\n<td>21.0<\/td>\r\n<td>39.7<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<\/section>\r\n<h2>Test of Independence - Homework<\/h2>\r\n<section id=\"fs-idm54060384\" class=\"free-response\" data-depth=\"1\">\r\n<p id=\"fs-idp19244768\"><em data-effect=\"italics\">For each problem, use a solution sheet to solve the hypothesis test problem. Go to <a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\" data-page=\"99\">Appendix E<\/a>\u00a0for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\r\n\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20690433\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-506\">86. A recent debate about where in the United States skiers believe skiing is best prompted the following survey. Test to see if the best ski area is independent of the level of the skier.<\/p>\r\n\r\n<table id=\"id7787415\" summary=\"The table has the level of the skier from second to fourth column with the first column as being U.S. Ski Area. There are three rows.\">\r\n<thead>\r\n<tr>\r\n<th>U.S. Ski Area<\/th>\r\n<th>Beginner<\/th>\r\n<th>Intermediate<\/th>\r\n<th>Advanced<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Tahoe<\/td>\r\n<td>20<\/td>\r\n<td>30<\/td>\r\n<td>40<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Utah<\/td>\r\n<td>10<\/td>\r\n<td>30<\/td>\r\n<td>60<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Colorado<\/td>\r\n<td>10<\/td>\r\n<td>40<\/td>\r\n<td>50<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm133556096\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20690775\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-887\">87. Car manufacturers are interested in whether there is a relationship between the size of a car an individual drives and the number of people in the driver\u2019s family (that is, whether car size and family size are independent). To test this, suppose that 800 car owners were randomly surveyed with the results in the table. Conduct a test of independence.<\/p>\r\n\r\n<table id=\"id6178445\" summary=\"This table has family size in the first column and car size from columns 2-5. There are 4 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Family Size<\/th>\r\n<th>Sub &amp; Compact<\/th>\r\n<th>Mid-size<\/th>\r\n<th>Full-size<\/th>\r\n<th>Van &amp; Truck<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>1<\/td>\r\n<td>20<\/td>\r\n<td>35<\/td>\r\n<td>40<\/td>\r\n<td>35<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>20<\/td>\r\n<td>50<\/td>\r\n<td>70<\/td>\r\n<td>80<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3\u20134<\/td>\r\n<td>20<\/td>\r\n<td>50<\/td>\r\n<td>100<\/td>\r\n<td>90<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5+<\/td>\r\n<td>20<\/td>\r\n<td>30<\/td>\r\n<td>70<\/td>\r\n<td>70<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idp45408448\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20691133\" class=\"problem\" data-type=\"problem\">\r\n\r\n88. College students may be interested in whether or not their majors have any effect on starting salaries after graduation. Suppose that 300 recent graduates were surveyed as to their majors in college and their starting salaries after graduation. The table below\u00a0shows the data. Conduct a test of independence.\r\n<table id=\"id7852811\" summary=\"The table has the starting salary along the top from column 2-4 and the major in the first column. There are 5 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Major<\/th>\r\n<th>&lt; $50,000<\/th>\r\n<th>$50,000 \u2013 $68,999<\/th>\r\n<th>$69,000 +<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>English<\/td>\r\n<td>5<\/td>\r\n<td>20<\/td>\r\n<td>5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Engineering<\/td>\r\n<td>10<\/td>\r\n<td>30<\/td>\r\n<td>60<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Nursing<\/td>\r\n<td>10<\/td>\r\n<td>15<\/td>\r\n<td>15<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Business<\/td>\r\n<td>10<\/td>\r\n<td>20<\/td>\r\n<td>30<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Psychology<\/td>\r\n<td>20<\/td>\r\n<td>30<\/td>\r\n<td>20<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-8d1\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20691551\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-47aa7\">89. Some travel agents claim that honeymoon hot spots vary according to age of the bride. Suppose that 280 recent brides were interviewed as to where they spent their honeymoons. The information is given in <a class=\"autogenerated-content\" href=\"http:\/\/cnx.org\/contents\/30189442-6998-4686-ac05-ed152b91b9de@17.44:73\/Test-of-Independence#id78334ss42\">Table<\/a>. Conduct a test of independence.<\/p>\r\n\r\n<table id=\"id78334ss42\" summary=\"This table has the age of the bride along the top from columns 2-4 and the location in the first column. There are 4 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Location<\/th>\r\n<th>20\u201329<\/th>\r\n<th>30\u201339<\/th>\r\n<th>40\u201349<\/th>\r\n<th>50 and over<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Niagara Falls<\/td>\r\n<td>15<\/td>\r\n<td>25<\/td>\r\n<td>25<\/td>\r\n<td>20<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Poconos<\/td>\r\n<td>15<\/td>\r\n<td>25<\/td>\r\n<td>25<\/td>\r\n<td>10<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Europe<\/td>\r\n<td>10<\/td>\r\n<td>25<\/td>\r\n<td>15<\/td>\r\n<td>5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Virgin Islands<\/td>\r\n<td>20<\/td>\r\n<td>25<\/td>\r\n<td>15<\/td>\r\n<td>5<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idp45475856\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20691902\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-870\">90. A manager of a sports club keeps information concerning the main sport in which members participate and their ages. To test whether there is a relationship between the age of a member and his or her choice of sport, 643 members of the sports club are randomly selected. Conduct a test of independence.<\/p>\r\n\r\n<table id=\"id7834002\" summary=\"The table has the age from columns 2-5 and sport in the first column. There are three rows.\">\r\n<thead>\r\n<tr>\r\n<th>Sport<\/th>\r\n<th>18 - 25<\/th>\r\n<th>26 - 30<\/th>\r\n<th>31 - 40<\/th>\r\n<th>41 and over<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>racquetball<\/td>\r\n<td>42<\/td>\r\n<td>58<\/td>\r\n<td>30<\/td>\r\n<td>46<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>tennis<\/td>\r\n<td>58<\/td>\r\n<td>76<\/td>\r\n<td>38<\/td>\r\n<td>65<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>swimming<\/td>\r\n<td>72<\/td>\r\n<td>60<\/td>\r\n<td>65<\/td>\r\n<td>33<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm153473104\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20692285\" class=\"problem\" data-type=\"problem\">\r\n\r\n91. A major food manufacturer is concerned that the sales of its skinny french fries have been decreasing. As a part of a feasibility study, the company conducts research into the types of fries sold across the country to determine if the type of fries sold is independent of the area of the country. The results of the study are shown in the table. Conduct a test of independence.\r\n<table id=\"id6092701\" summary=\"The table has area of country along the top from columns 2-5 and type of fries in the first column. There are three rows.\">\r\n<thead>\r\n<tr>\r\n<th>Type of Fries<\/th>\r\n<th>Northeast<\/th>\r\n<th>South<\/th>\r\n<th>Central<\/th>\r\n<th>West<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>skinny fries<\/td>\r\n<td>70<\/td>\r\n<td>50<\/td>\r\n<td>20<\/td>\r\n<td>25<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>curly fries<\/td>\r\n<td>100<\/td>\r\n<td>60<\/td>\r\n<td>15<\/td>\r\n<td>30<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>steak fries<\/td>\r\n<td>20<\/td>\r\n<td>40<\/td>\r\n<td>10<\/td>\r\n<td>10<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idp17240224\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20692592\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idm168518032\">92. According to Dan Lenard, an independent insurance agent in the Buffalo, N.Y. area, the following is a breakdown of the amount of life insurance purchased by males in the following age groups. He is interested in whether the age of the male and the amount of life insurance purchased are independent events. Conduct a test for independence.<\/p>\r\n\r\n<table id=\"id7819090\" summary=\"The table presents the amount of life insurance purchased along the top from columns 2-6 and age of males in the first column. There are 4 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Age of Males<\/th>\r\n<th>None<\/th>\r\n<th>&lt; $200,000<\/th>\r\n<th>$200,000\u2013$400,000<\/th>\r\n<th>$401,001\u2013$1,000,000<\/th>\r\n<th>$1,000,001+<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>20\u201329<\/td>\r\n<td>40<\/td>\r\n<td>15<\/td>\r\n<td>40<\/td>\r\n<td>0<\/td>\r\n<td>5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>30\u201339<\/td>\r\n<td>35<\/td>\r\n<td>5<\/td>\r\n<td>20<\/td>\r\n<td>20<\/td>\r\n<td>10<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>40\u201349<\/td>\r\n<td>20<\/td>\r\n<td>0<\/td>\r\n<td>30<\/td>\r\n<td>0<\/td>\r\n<td>30<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>50+<\/td>\r\n<td>40<\/td>\r\n<td>30<\/td>\r\n<td>15<\/td>\r\n<td>15<\/td>\r\n<td>10<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21086869\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-186\">93. Suppose that 600 thirty-year-olds were surveyed to determine whether or not there is a relationship between the level of education an individual has and salary. Conduct a test of independence.<\/p>\r\n\r\n<table id=\"id7819454\" summary=\"The table presents the level of education along the top from columns 2-5 and annual salary in the first column. There are 5 rows.\">\r\n<thead>\r\n<tr>\r\n<th>Annual Salary<\/th>\r\n<th>Not a high school graduate<\/th>\r\n<th>High school graduate<\/th>\r\n<th>College graduate<\/th>\r\n<th>Masters or doctorate<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>&lt; $30,000<\/td>\r\n<td>15<\/td>\r\n<td>25<\/td>\r\n<td>10<\/td>\r\n<td>5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>$30,000\u2013$40,000<\/td>\r\n<td>20<\/td>\r\n<td>40<\/td>\r\n<td>70<\/td>\r\n<td>30<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>$40,000\u2013$50,000<\/td>\r\n<td>10<\/td>\r\n<td>20<\/td>\r\n<td>40<\/td>\r\n<td>55<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>$50,000\u2013$60,000<\/td>\r\n<td>5<\/td>\r\n<td>10<\/td>\r\n<td>20<\/td>\r\n<td>60<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>$60,000+<\/td>\r\n<td>0<\/td>\r\n<td>5<\/td>\r\n<td>10<\/td>\r\n<td>150<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"eip-idm117790352\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<p id=\"fs-idm14785440\"><em data-effect=\"italics\">Read the statement and decide whether it is true or false.<\/em><\/p>\r\n\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088545\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-470\">94. The number of degrees of freedom for a test of independence is equal to the sample size minus one.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-688\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088644\" class=\"problem\" data-type=\"problem\">\r\n\r\n95. The test for independence uses tables of observed and expected data values.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088692\" class=\"problem\" data-type=\"problem\">\r\n\r\n96. The test to use when determining if the college or university a student chooses to attend is related to his or her socioeconomic status is a test for independence.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n97. In a test of independence, the expected number is equal to the row total multiplied by the column total divided by the total surveyed.\r\n\r\n<\/div>\r\n<div id=\"id21088762\" class=\"solution\" data-type=\"solution\">98. An ice cream maker performs a nationwide survey about favorite flavors of ice cream in different geographic areas of the U.S. Based on the table, do the numbers suggest that geographic location is independent of favorite ice cream flavors? Test at the 5% significance level.<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n<table id=\"fs-idp162013328\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>U.S. region\/Flavor<\/th>\r\n<th>Strawberry<\/th>\r\n<th>Chocolate<\/th>\r\n<th>Vanilla<\/th>\r\n<th>Rocky Road<\/th>\r\n<th>Mint Chocolate Chip<\/th>\r\n<th>Pistachio<\/th>\r\n<th>Row total<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>West<\/td>\r\n<td>12<\/td>\r\n<td>21<\/td>\r\n<td>22<\/td>\r\n<td>19<\/td>\r\n<td>15<\/td>\r\n<td>8<\/td>\r\n<td>97<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Midwest<\/td>\r\n<td>10<\/td>\r\n<td>32<\/td>\r\n<td>22<\/td>\r\n<td>11<\/td>\r\n<td>15<\/td>\r\n<td>6<\/td>\r\n<td>96<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>East<\/td>\r\n<td>8<\/td>\r\n<td>31<\/td>\r\n<td>27<\/td>\r\n<td>8<\/td>\r\n<td>15<\/td>\r\n<td>7<\/td>\r\n<td>96<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>South<\/td>\r\n<td>15<\/td>\r\n<td>28<\/td>\r\n<td>30<\/td>\r\n<td>8<\/td>\r\n<td>15<\/td>\r\n<td>6<\/td>\r\n<td>102<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Column Total<\/td>\r\n<td>45<\/td>\r\n<td>112<\/td>\r\n<td>101<\/td>\r\n<td>46<\/td>\r\n<td>60<\/td>\r\n<td>27<\/td>\r\n<td>391<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-751\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-130\">99. The table provides a recent survey of the youngest online entrepreneurs whose net worth is estimated at one million dollars or more. Their ages range from 17 to 30. Each cell in the table illustrates the number of entrepreneurs who correspond to the specific age group and their net worth. Are the ages and net worth independent? Perform a test of independence at the 5% significance level.<\/p>\r\n\r\n<table id=\"fs-idp932416\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Age Group\\ Net Worth Value (in millions of US dollars)<\/th>\r\n<th>1\u20135<\/th>\r\n<th>6\u201324<\/th>\r\n<th>\u226525<\/th>\r\n<th>Row Total<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>17\u201325<\/td>\r\n<td>8<\/td>\r\n<td>7<\/td>\r\n<td>5<\/td>\r\n<td>20<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>26\u201330<\/td>\r\n<td>6<\/td>\r\n<td>5<\/td>\r\n<td>9<\/td>\r\n<td>20<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Column Total<\/td>\r\n<td>14<\/td>\r\n<td>12<\/td>\r\n<td>14<\/td>\r\n<td>40<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-433\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-876\" class=\"problem\" data-type=\"problem\">\r\n\r\n100. A 2013 poll in California surveyed people about taxing sugar-sweetened beverages. The results are presented in the table and are classified by ethnic group and response type. Are the poll responses independent of the participants\u2019 ethnic group? Conduct a test of independence at the 5% significance level.\r\n<table id=\"eip-idm61320176\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Opinion\/Ethnicity<\/th>\r\n<th>Asian-American<\/th>\r\n<th>White\/Non-Hispanic<\/th>\r\n<th>African-American<\/th>\r\n<th>Latino<\/th>\r\n<th>Row Total<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Against tax<\/td>\r\n<td>48<\/td>\r\n<td>433<\/td>\r\n<td>41<\/td>\r\n<td>160<\/td>\r\n<td>628<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>In Favor of tax<\/td>\r\n<td>54<\/td>\r\n<td>234<\/td>\r\n<td>24<\/td>\r\n<td>147<\/td>\r\n<td>459<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>No opinion<\/td>\r\n<td>16<\/td>\r\n<td>43<\/td>\r\n<td>16<\/td>\r\n<td>19<\/td>\r\n<td>84<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Column Total<\/td>\r\n<td>118<\/td>\r\n<td>710<\/td>\r\n<td>71<\/td>\r\n<td>272<\/td>\r\n<td>1171<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<\/section>\r\n<h2>Test for Homogeneity - Homework<\/h2>\r\n<section class=\"free-response\" data-depth=\"1\">\r\n<p id=\"fs-idm2453104\"><em data-effect=\"italics\">For each word problem, use a solution sheet to solve the hypothesis test problem. Go to <a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\">Appendix E\u00a0<\/a>for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\r\n\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n101. A psychologist is interested in testing whether there is a difference in the distribution of personality types for business majors and social science majors. The results of the study are shown in the table. Conduct a test of homogeneity. Test at a 5% level of significance.\r\n<table summary=\"The table presents personality types along the top from columns 2-6 and major (business and social science) in the first column. There are 3 rows.\">\r\n<tbody>\r\n<tr>\r\n<td><\/td>\r\n<td><strong>Open<\/strong><\/td>\r\n<td><strong>Conscientious<\/strong><\/td>\r\n<td><strong>Extrovert<\/strong><\/td>\r\n<td><strong>Agreeable<\/strong><\/td>\r\n<td><strong>Neurotic<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Business<\/strong><\/td>\r\n<td>41<\/td>\r\n<td>52<\/td>\r\n<td>46<\/td>\r\n<td>61<\/td>\r\n<td>58<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Social Science<\/strong><\/td>\r\n<td>72<\/td>\r\n<td>75<\/td>\r\n<td>63<\/td>\r\n<td>80<\/td>\r\n<td>65<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-252\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-617\">102. Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at a popular breakfast place are shown in the table. Conduct a test for homogeneity at a 5% level of significance.<\/p>\r\n\r\n<table id=\"eip-id1167950422174\" summary=\"The table presents personality types along the top from columns 2-6 and major (business and social science) in the first column. There are 3 rows.\">\r\n<tbody>\r\n<tr>\r\n<td><\/td>\r\n<td><strong>French Toast<\/strong><\/td>\r\n<td><strong>Pancakes<\/strong><\/td>\r\n<td><strong>Waffles<\/strong><\/td>\r\n<td><strong>Omelettes<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Men<\/strong><\/td>\r\n<td>47<\/td>\r\n<td>35<\/td>\r\n<td>28<\/td>\r\n<td>53<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Women<\/strong><\/td>\r\n<td>65<\/td>\r\n<td>59<\/td>\r\n<td>55<\/td>\r\n<td>60<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-561\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-737\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-224\">103. A fisherman is interested in whether the distribution of fish caught in Green Valley Lake is the same as the distribution of fish caught in Echo Lake. Of the 191 randomly selected fish caught in Green Valley Lake, 105 were rainbow trout, 27 were other trout, 35 were bass, and 24 were catfish. Of the 293 randomly selected fish caught in Echo Lake, 115 were rainbow trout, 58 were other trout, 67 were bass, and 53 were catfish. Perform a test for homogeneity at a 5% level of significance.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-784\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-70\">104. In 2007, the United States had 1.5 million homeschooled students, according to the U.S. National Center for Education Statistics. In the table below\u00a0you can see that parents decide to homeschool their children for different reasons, and some reasons are ranked by parents as more important than others. According to the survey results shown in the table, is the distribution of applicable reasons the same as the distribution of the most important reason? Provide your assessment at the 5% significance level. Did you expect the result you obtained?<\/p>\r\n\r\n<table id=\"eip-idm1189216\" summary=\"\"><colgroup> <col data-width=\"180\" \/> <col data-width=\"180\" \/> <col data-width=\"180\" \/> <col data-width=\"70\" \/><\/colgroup>\r\n<thead>\r\n<tr>\r\n<th>Reasons for Homeschooling<\/th>\r\n<th>Applicable Reason (in thousands of respondents)<\/th>\r\n<th>Most Important Reason (in thousands of respondents)<\/th>\r\n<th>Row Total<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Concern about the environment of other schools<\/td>\r\n<td>1,321<\/td>\r\n<td>309<\/td>\r\n<td>1,630<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Dissatisfaction with academic instruction at other schools<\/td>\r\n<td>1,096<\/td>\r\n<td>258<\/td>\r\n<td>1,354<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>To provide religious or moral instruction<\/td>\r\n<td>1,257<\/td>\r\n<td>540<\/td>\r\n<td>1,797<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Child has special needs, other than physical or mental<\/td>\r\n<td>315<\/td>\r\n<td>55<\/td>\r\n<td>370<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Nontraditional approach to child\u2019s education<\/td>\r\n<td>984<\/td>\r\n<td>99<\/td>\r\n<td>1,083<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Other reasons (e.g., finances, travel, family time, etc.)<\/td>\r\n<td>485<\/td>\r\n<td>216<\/td>\r\n<td>701<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Column Total<\/td>\r\n<td>5,458<\/td>\r\n<td>1,477<\/td>\r\n<td>6,935<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n105. When looking at energy consumption, we are often interested in detecting trends over time and how they correlate among different countries. The information in the table\u00a0shows the average energy use (in units of kg of oil equivalent per capita) in the USA and the joint European Union countries (EU) for the six-year period 2005 to 2010. Do the energy use values in these two areas come from the same distribution? Perform the analysis at the 5% significance level.\r\n<table id=\"eip-idp102538544\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Year<\/th>\r\n<th>European Union<\/th>\r\n<th>United States<\/th>\r\n<th>Row Total<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>2010<\/td>\r\n<td>3,413<\/td>\r\n<td>7,164<\/td>\r\n<td>10,557<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2009<\/td>\r\n<td>3,302<\/td>\r\n<td>7,057<\/td>\r\n<td>10,359<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2008<\/td>\r\n<td>3,505<\/td>\r\n<td>7,488<\/td>\r\n<td>10,993<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2007<\/td>\r\n<td>3,537<\/td>\r\n<td>7,758<\/td>\r\n<td>11,295<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2006<\/td>\r\n<td>3,595<\/td>\r\n<td>7,697<\/td>\r\n<td>11,292<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2005<\/td>\r\n<td>3,613<\/td>\r\n<td>7,847<\/td>\r\n<td>11,460<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Column Total<\/td>\r\n<td>45,011<\/td>\r\n<td>20,965<\/td>\r\n<td>65,976<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div id=\"fs-idm43380128\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-653\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\">\r\n\r\n106. The Insurance Institute for Highway Safety collects safety information about all types of cars every year, and publishes a report of Top Safety Picks among all cars, makes, and models. The table below\u00a0presents the number of Top Safety Picks in six car categories for the two years 2009 and 2013. Analyze the table data to conclude whether the distribution of cars that earned the Top Safety Picks safety award has remained the same between 2009 and 2013. Derive your results at the 5% significance level.\r\n<table id=\"eip-idp53245072\" summary=\"\">\r\n<thead>\r\n<tr>\r\n<th>Year \\ Car Type<\/th>\r\n<th>Small<\/th>\r\n<th>Mid-Size<\/th>\r\n<th>Large<\/th>\r\n<th>Small SUV<\/th>\r\n<th>Mid-Size SUV<\/th>\r\n<th>Large SUV<\/th>\r\n<th>Row Total<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>2009<\/td>\r\n<td>12<\/td>\r\n<td>22<\/td>\r\n<td>10<\/td>\r\n<td>10<\/td>\r\n<td>27<\/td>\r\n<td>6<\/td>\r\n<td>87<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2013<\/td>\r\n<td>31<\/td>\r\n<td>30<\/td>\r\n<td>19<\/td>\r\n<td>11<\/td>\r\n<td>29<\/td>\r\n<td>4<\/td>\r\n<td>124<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Column Total<\/strong><\/td>\r\n<td>43<\/td>\r\n<td>52<\/td>\r\n<td>29<\/td>\r\n<td>21<\/td>\r\n<td>56<\/td>\r\n<td>10<\/td>\r\n<td>211<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<\/section>\r\n<div class=\"solution\" data-type=\"solution\">\r\n<h2>Comparison of the Chi-Square Tests - Homework<\/h2>\r\n<section id=\"fs-idp35566032\" class=\"free-response\" data-depth=\"1\">\r\n<p id=\"fs-idm155789040\"><em data-effect=\"italics\">For each word problem, use a solution sheet to solve the hypothesis test problem. Go to\u00a0<a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\">Appendix E<\/a>\u00a0for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\r\n\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-604\" class=\"problem\" data-type=\"problem\">\r\n\r\n107. Is there a difference between the distribution of community college statistics students and the distribution of university statistics students in what technology they use on their homework? Of some randomly selected community college students, 43 used a computer, 102 used a calculator with built-in statistics functions, and 65 used a table from the textbook. Of some randomly selected university students, 28 used a computer, 33 used a calculator with built-in statistics functions, and 40 used a table from a textbook. Conduct an appropriate hypothesis test using a 0.05 level of significance.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<p id=\"fs-idm173269120\">Read the statement and decide whether it is true or false.<\/p>\r\n\r\n<div id=\"element-963\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088939\" class=\"problem\" data-type=\"problem\">\r\n\r\n108. If <em data-effect=\"italics\">df<\/em> = 2, the chi-square distribution has a shape that reminds us of the exponential.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<\/section><section id=\"eip-idp90445392\" class=\"bring-together-homework\" data-depth=\"1\">\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id20682914\" class=\"problem\" data-type=\"problem\">\r\n<h2>Test of a Single Variance - Homework<\/h2>\r\n<\/div>\r\n<section class=\"practice\" data-depth=\"1\">\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div class=\"problem\" data-type=\"problem\"><\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-447\" class=\"solution\" data-type=\"solution\"><\/div>\r\n<\/section><\/div>\r\n<\/section><section id=\"fs-idm85852512\" class=\"free-response\" data-depth=\"1\"><em data-effect=\"italics\">Use the following information to answer the next twelve exercises:<\/em> Suppose an airline claims that its flights are consistently on time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is no more than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next 25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes.\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id47989189\" class=\"problem\" data-type=\"problem\">\r\n\r\n109. Is the traveler disputing the claim about the average or about the variance?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm21799472\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idm24338816\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idp8330400\">110. A sample standard deviation of 15 minutes is the same as a sample variance of __________ minutes.<\/p>\r\n\r\n<\/div>\r\n<div id=\"fs-idm2415952\" class=\"solution\" data-type=\"solution\">111. Is this a right-tailed, left-tailed, or two-tailed test?<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm22555680\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idm53291472\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idp8181296\">112<em data-effect=\"italics\">. H<sub>0<\/sub><\/em>: __________<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm2265776\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idp79398304\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idp135560176\">113<em data-effect=\"italics\">. df<\/em> = ________<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm22718256\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idm20943008\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idm46019072\">114. chi-square test statistic = ________<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm70553440\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idp47518368\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idp34036528\">115<em data-effect=\"italics\">. p<\/em>-value = ________<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idp82699488\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idm73044992\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idm74715968\">116. Graph the situation. Label and scale the horizontal axis. Mark the mean and test statistic. Shade the <em data-effect=\"italics\">p<\/em>-value.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm73610688\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<p id=\"fs-idm24034400\">117. Let <em data-effect=\"italics\">\u03b1<\/em> = 0.05<\/p>\r\n\r\n<ol>\r\n \t<li>Decision: ________<\/li>\r\n \t<li>Conclusion (write out in a complete sentence.): ________<\/li>\r\n<\/ol>\r\n<\/section><\/div>\r\n<div id=\"eip-572\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-idp77356624\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-idp77356880\">118. How did you know to test the variance instead of the mean?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-idp189612400\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-idp79174704\">119. If an additional test were done on the claim of the average delay, which distribution would you use?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-idm34189536\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"eip-idp107850688\">120. If an additional test were done on the claim of the average delay, but 45 flights were surveyed, which distribution would you use?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<em data-effect=\"italics\">For each word problem, use a solution sheet to solve the hypothesis test problem. Go to\u00a0<a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\">Appendix E<\/a>\u00a0for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em>\r\n<div id=\"fs-idp51794048\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"fs-idp51794176\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idm36035424\">121. A plant manager is concerned her equipment may need recalibrating. It seems that the actual weight of the 15 oz. cereal boxes it fills has been fluctuating. The standard deviation should be at most 0.5 oz. In order to determine if the machine needs to be recalibrated, 84 randomly selected boxes of cereal from the next day\u2019s production were weighed. The standard deviation of the 84 boxes was 0.54. Does the machine need to be recalibrated?<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-377ab\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21087432\" class=\"problem\" data-type=\"problem\">\r\n\r\n122. Consumers may be interested in whether the cost of a particular calculator varies from store to store. Based on surveying 43 stores, which yielded a sample mean of $84 and a sample standard deviation of $12, test the claim that the standard deviation is greater than $15.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"fs-idm4701360\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21087466\" class=\"problem\" data-type=\"problem\">\r\n\r\n123. Isabella, an accomplished <strong>Bay to Breakers<\/strong> runner, claims that the standard deviation for her time to run the 7.5-mile race is at most three minutes. To test her claim, Rupinder looks up five of her race times. They are 55 minutes, 61 minutes, 58 minutes, 63 minutes, and 57 minutes.\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21087604\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-776\">124. Airline companies are interested in the consistency of the number of babies on each flight so that they have adequate safety equipment. They are also interested in the variation in the number of babies. Suppose that an airline executive believes the average number of babies on flights is six with a variance of nine at most. The airline conducts a survey. The results of the 18 flights surveyed give a sample average of 6.4 with a sample standard deviation of 3.9. Conduct a hypothesis test of the airline executive\u2019s belief.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"element-559\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21087650\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-641\">125. The number of births per woman in China is 1.6 down from 5.91 in 1966. This fertility rate has been attributed to the law passed in 1979 restricting births to one per woman. Suppose that a group of students studied whether or not the standard deviation of births per woman was greater than 0.75. They asked 50 women across China the number of births they had had. The results are shown in the table below. Does the students\u2019 survey indicate that the standard deviation is greater than 0.75?<\/p>\r\n\r\n<table id=\"id6106431\" summary=\"The table has the number of births in the first column and the frequency in the second column. There are 4 rows.\">\r\n<thead>\r\n<tr>\r\n<th># of births<\/th>\r\n<th>Frequency<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>0<\/td>\r\n<td>5<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<\/td>\r\n<td>30<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>10<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>5<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21087968\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"element-381\">126. According to an avid aquarist, the average number of fish in a 20-gallon tank is 10, with a standard deviation of two. His friend, also an aquarist, does not believe that the standard deviation is two. She counts the number of fish in 15 other 20-gallon tanks. Based on the results that follow, do you think that the standard deviation is different from two? Data: 11; 10; 9; 10; 10; 11; 11; 10; 12; 9; 7; 9; 11; 10; 11<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"id21088008\" class=\"problem\" data-type=\"problem\">\r\n<p id=\"fs-idp7606224\">127. The manager of \"Frenchies\" is concerned that patrons are not consistently receiving the same amount of French fries with each order. The chef claims that the standard deviation for a ten-ounce order of fries is at most 1.5 oz., but the manager thinks that it may be higher. He randomly weighs 49 orders of fries, which yields a mean of 11 oz. and a standard deviation of two oz.<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-340\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-90\" class=\"problem\" data-type=\"problem\">\r\n\r\n128. You want to buy a specific computer. A sales representative of the manufacturer claims that retail stores sell this computer at an average price of $1,249 with a very narrow standard deviation of $25. You find a website that has a price comparison for the same computer at a series of stores as follows: $1,299; $1,229.99; $1,193.08; $1,279; $1,224.95; $1,229.99; $1,269.95; $1,249. Can you argue that pricing has a larger standard deviation than claimed by the manufacturer? Use the 5% significance level. As a potential buyer, what would be the practical conclusion from your analysis?\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<div id=\"eip-idp39276048\" class=\"exercise\" data-type=\"exercise\"><section>\r\n<div id=\"eip-idp39276176\" class=\"problem\" data-type=\"problem\">\r\n\r\n129. A company packages apples by weight. One of the weight grades is Class A apples. Class A apples have a mean weight of 150 g, and there is a maximum allowed weight tolerance of 5% above or below the mean for apples in the same consumer package. A batch of apples is selected to be included in a Class A apple package. Given the following apple weights of the batch, does the fruit comply with the Class A grade weight tolerance requirements? Conduct an appropriate hypothesis test.\r\n<p id=\"eip-idp93825408\">(a) at the 5% significance level<\/p>\r\n<p id=\"eip-idp25991408\">(b) at the 1% significance level<\/p>\r\n<p id=\"eip-idm53488240\">Weights in selected apple batch (in grams): 158; 167; 149; 169; 164; 139; 154; 150; 157; 171; 152; 161; 141; 166; 172;<\/p>\r\n\r\n<\/div>\r\n<\/section><\/div>\r\n<\/section><\/section><\/div>\r\n<\/section><\/div>\r\n<\/section><\/div>\r\n<\/section>\r\n<h2>Bringing It Together: Homework<\/h2>\r\n130.\r\n<ol id=\"fs-idm248592976\" type=\"a\">\r\n \t<li>Explain why a goodness-of-fit test and a test of independence are generally right-tailed tests.<\/li>\r\n \t<li>If you did a left-tailed test, what would you be testing?<\/li>\r\n<\/ol>","rendered":"<h2>Facts About the Chi-Square Distribution &#8211; Practice<\/h2>\n<section id=\"eip-461\" class=\"practice\" data-depth=\"1\">\n<div id=\"eip-600\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>1. If the number of degrees of freedom for a chi-square distribution is 25, what is the population mean and standard deviation?<\/p>\n<\/div>\n<div class=\"solution\" data-type=\"solution\">2. If <em data-effect=\"italics\">df<\/em> &gt; 90, the distribution is _____________. If <em data-effect=\"italics\">df<\/em> = 15, the distribution is ________________.<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p id=\"eip-827\">3. When does the chi-square curve approximate a normal distribution?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p id=\"eip-922\">4. Where is <em data-effect=\"italics\">\u03bc<\/em> located on a chi-square curve?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-112\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-96\">5. Is it more likely the <em data-effect=\"italics\">df<\/em> is 90, 20, or two in the graph?<\/p>\n<figure id=\"eip-idm89632480\"><span id=\"eip-idm149706320\" data-type=\"media\" data-alt=\"This is a nonsymmetrical chi-square curve which slopes downward continually.\"><img decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/132\/2016\/04\/21214805\/CNX_Stats_C11_M03_item001.jpg\" alt=\"This is a nonsymmetrical chi-square curve which slopes downward continually.\" width=\"280\" data-media-type=\"image\/jpeg\" \/><\/span><\/figure>\n<\/div>\n<div id=\"eip-300\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<\/section>\n<section id=\"fs-idm36620848\" class=\"free-response\" data-depth=\"1\">\n<h2>Goodness-of-Fit Test &#8211; Practice<\/h2>\n<p><em data-effect=\"italics\">Determine the appropriate test to be used in the next three exercises.<\/em><\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>6. An archeologist is calculating the distribution of the frequency of the number of artifacts she finds in a dig site. Based on previous digs, the archeologist creates an expected distribution broken down by grid sections in the dig site. Once the site has been fully excavated, she compares the actual number of artifacts found in each grid section to see if her expectation was accurate.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-958\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-19\">7. An economist is deriving a model to predict outcomes in the stock market. He creates a list of expected points on the stock market index for the next two weeks. At the close of each day\u2019s trading, he records the actual points on the index. He wants to see how well his model matched what actually happened.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-89\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-452\" class=\"problem\" data-type=\"problem\">\n<p>8. A personal trainer is putting together a weight-lifting program for her clients. For a 90-day program, she expects each client to lift a specific maximum weight each week. As she goes along, she records the actual maximum weights her clients lifted. She wants to know how well her expectations met with what was observed.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<p><em data-effect=\"italics\">Use the following information to answer the next five exercises:<\/em> A teacher predicts what the distribution of grades on the final exam will be and they are recorded in the table.<\/p>\n<table id=\"fs-idm120960208\" summary=\"\">\n<thead>\n<tr>\n<th>Grade<\/th>\n<th>Proportion<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>A<\/td>\n<td>0.25<\/td>\n<\/tr>\n<tr>\n<td>B<\/td>\n<td>0.30<\/td>\n<\/tr>\n<tr>\n<td>C<\/td>\n<td>0.35<\/td>\n<\/tr>\n<tr>\n<td>D<\/td>\n<td>0.10<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p id=\"eip-idm224726288\">The actual distribution for a class of 20 is in the table below.<\/p>\n<table id=\"fs-idp30286112\" summary=\"\">\n<thead>\n<tr>\n<th>Grade<\/th>\n<th>Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>A<\/td>\n<td>7<\/td>\n<\/tr>\n<tr>\n<td>B<\/td>\n<td>7<\/td>\n<\/tr>\n<tr>\n<td>C<\/td>\n<td>5<\/td>\n<\/tr>\n<tr>\n<td>D<\/td>\n<td>1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div id=\"eip-760\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-368\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-idp101712960\"><span id=\"MathJax-Element-221-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-4976\" class=\"math\"><span id=\"MathJax-Span-4977\" class=\"mrow\"><span id=\"MathJax-Span-4978\" class=\"semantics\"><span id=\"MathJax-Span-4979\" class=\"mrow\"><span id=\"MathJax-Span-4980\" class=\"mrow\"><span id=\"MathJax-Span-4981\" class=\"mi\">9. d<\/span><span id=\"MathJax-Span-4982\" class=\"mi\">f<\/span><span id=\"MathJax-Span-4983\" class=\"mo\">=<\/span><\/span><\/span><\/span><\/span><\/span><\/span> ______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p id=\"eip-642\">10. State the null and alternative hypotheses.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-462\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>11<em data-effect=\"italics\">. \u03c7<sup>2<\/sup><\/em> test statistic = ______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-823\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p><em data-effect=\"italics\">12. p<\/em>-value = ______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-873\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>13. At the 5% significance level, what can you conclude?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<p><em data-effect=\"italics\">Use the following information to answer the next nine exercises:<\/em> The following data are real. The cumulative number of AIDS cases reported for Santa Clara County is broken down by ethnicity as in the table below.<\/p>\n<table summary=\"This table shows the ethnicity in the first column and the number of cases in the second column. There are 5 rows.\">\n<thead>\n<tr>\n<th>Ethnicity<\/th>\n<th>Number of Cases<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>White<\/td>\n<td>2,229<\/td>\n<\/tr>\n<tr>\n<td>Hispanic<\/td>\n<td>1,157<\/td>\n<\/tr>\n<tr>\n<td>Black\/African-American<\/td>\n<td>457<\/td>\n<\/tr>\n<tr>\n<td>Asian, Pacific Islander<\/td>\n<td>232<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td>Total = 4,075<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The percentage of each ethnic group in Santa Clara County is as in the table below.<\/p>\n<table summary=\"This is a partially filled table with ethnicity in the first column, percentage of total county population in the second column, and expected number in the third column. Only the first row of the third column is filled up.\">\n<thead>\n<tr>\n<th>Ethnicity<\/th>\n<th>Percentage of total county population<\/th>\n<th>Number expected (round to two decimal places)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>White<\/td>\n<td>42.9%<\/td>\n<td>1748.18<\/td>\n<\/tr>\n<tr>\n<td>Hispanic<\/td>\n<td>26.7%<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Black\/African-American<\/td>\n<td>2.6%<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Asian, Pacific Islander<\/td>\n<td>27.8%<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td>Total = 100%<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div id=\"fs-idm118784352\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idm118784096\" class=\"problem\" data-type=\"problem\">\n<p>14. If the ethnicities of AIDS victims followed the ethnicities of the total county population, fill in the expected number of cases per ethnic group.\u00a0<em data-effect=\"italics\">Perform a goodness-of-fit test to determine whether the occurrence of AIDS cases follows the ethnicities of the general population of Santa Clara County.<\/em><\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id45907502\" class=\"problem\" data-type=\"problem\">\n<p>15<em data-effect=\"italics\">. H<sub>0<\/sub><\/em>: _______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id45907589\" class=\"problem\" data-type=\"problem\">\n<p>16<em data-effect=\"italics\">. H<sub>a<\/sub><\/em>: _______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id45907668\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-56\">17. Is this a right-tailed, left-tailed, or two-tailed test?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id45907696\" class=\"problem\" data-type=\"problem\">\n<p>18. degrees of freedom = _______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-575\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id42755491\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-840\">19<em data-effect=\"italics\">. \u03c7<sup>2<\/sup><\/em> test statistic = _______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-64\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id42755565\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-836\">20<em data-effect=\"italics\">. p<\/em>-value = _______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idp52863376\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id42755611\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-947\">21. Graph the situation. Label and scale the horizontal axis. Mark the mean and test statistic. Shade in the region corresponding to the <em data-effect=\"italics\">p<\/em>-value.<\/p>\n<figure id=\"eip-idm27194112\"><span id=\"id42755639\" data-type=\"media\" data-alt=\"This is a blank graph template. The vertical and horizontal axes are unlabeled.\" data-display=\"block\"><img decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/132\/2016\/04\/21214806\/fig-ch11_10_01.jpg\" alt=\"This is a blank graph template. The vertical and horizontal axes are unlabeled.\" width=\"380\" data-media-type=\"image\/png\" \/><\/span><\/figure>\n<p id=\"element-996\">Let <em data-effect=\"italics\">\u03b1<\/em> = 0.05<\/p>\n<ol>\n<li id=\"element-369\">Decision: ________________<\/li>\n<li>Reason for the Decision: ________________<\/li>\n<li>Conclusion (write out in complete sentences): ________________<\/li>\n<\/ol>\n<\/div>\n<div id=\"fs-idm23466992\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div id=\"exerciseoneserd\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id42755737\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-493\">22. Does it appear that the pattern of AIDS cases in Santa Clara County corresponds to the distribution of ethnic groups in this county? Why or why not?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<h2>Test of Independence &#8211; Practice<\/h2>\n<p id=\"eip-idp65377328\"><em data-effect=\"italics\">Determine the appropriate test to be used in the next three exercises.<\/em><\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-796\" class=\"problem\" data-type=\"problem\">\n<p>23. A pharmaceutical company is interested in the relationship between age and presentation of symptoms for a common viral infection. A random sample is taken of 500 people with the infection across different age groups.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-703\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>24. The owner of a baseball team is interested in the relationship between player salaries and the team winning percentage. He takes a random sample of 100 players from different organizations.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-46\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>25. A marathon runner is interested in the relationship between the brand of shoes runners wear and their run times. She takes a random sample of 50 runners and records their run times as well as the brand of shoes they were wearing.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<p><em data-effect=\"italics\">Use the following information to answer the next seven exercises:<\/em> Transit Railroads is interested in the relationship between travel distance and the ticket class purchased. A random sample of 200 passengers is taken. The table below\u00a0shows the results. The railroad wants to know if a passenger\u2019s choice in ticket class is independent of the distance they must travel.<\/p>\n<table id=\"eip-956\" summary=\"..\">\n<thead>\n<tr>\n<th>Traveling Distance<\/th>\n<th>Third class<\/th>\n<th>Second class<\/th>\n<th>First class<\/th>\n<th>Total<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1\u2013100 miles<\/td>\n<td>21<\/td>\n<td>14<\/td>\n<td>6<\/td>\n<td>41<\/td>\n<\/tr>\n<tr>\n<td>101\u2013200 miles<\/td>\n<td>18<\/td>\n<td>16<\/td>\n<td>8<\/td>\n<td>42<\/td>\n<\/tr>\n<tr>\n<td>201\u2013300 miles<\/td>\n<td>16<\/td>\n<td>17<\/td>\n<td>15<\/td>\n<td>48<\/td>\n<\/tr>\n<tr>\n<td>301\u2013400 miles<\/td>\n<td>12<\/td>\n<td>14<\/td>\n<td>21<\/td>\n<td>47<\/td>\n<\/tr>\n<tr>\n<td>401\u2013500 miles<\/td>\n<td>6<\/td>\n<td>6<\/td>\n<td>10<\/td>\n<td>22<\/td>\n<\/tr>\n<tr>\n<td>Total<\/td>\n<td>73<\/td>\n<td>67<\/td>\n<td>60<\/td>\n<td>200<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>26. State the hypotheses.<\/p>\n<ul>\n<li><em data-effect=\"italics\">\u00a0H<sub>0<\/sub><\/em>: _______<\/li>\n<li><em data-effect=\"italics\">\u00a0H<sub>a<\/sub><\/em>: _______<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-131\" class=\"problem\" data-type=\"problem\">\n<p>27<em data-effect=\"italics\">. df<\/em> = _______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-276\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-282\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-952\">28. How many passengers are expected to travel between 201 and 300 miles and purchase second-class tickets?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p id=\"eip-799\">29. How many passengers are expected to travel between 401 and 500 miles and purchase first-class tickets?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-364\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-857\" class=\"problem\" data-type=\"problem\">\n<p>30. What is the test statistic?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-811\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-646\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-575\">31. What is the <em data-effect=\"italics\">p<\/em>-value?<\/p>\n<\/div>\n<div id=\"eip-554\" class=\"solution\" data-type=\"solution\">32. What can you conclude at the 5% level of significance?<\/div>\n<\/section>\n<\/div>\n<div data-type=\"newline\"><\/div>\n<p><em data-effect=\"italics\">Use the following information to answer the next eight exercises:<\/em> An article in the New England Journal of Medicine discussed a study on smokers in California and Hawaii. In one part of the report, the self-reported ethnicity and smoking levels per day were given. Of the people smoking at most ten cigarettes per day, there were 9,886 African Americans, 2,745 Native Hawaiians, 12,831 Latinos, 8,378 Japanese Americans, and 7,650 Whites. Of the people smoking 11 to 20 cigarettes per day, there were 6,514 African Americans, 3,062 Native Hawaiians, 4,932 Latinos, 10,680 Japanese Americans, and 9,877 Whites. Of the people smoking 21 to 30 cigarettes per day, there were 1,671 African Americans, 1,419 Native Hawaiians, 1,406 Latinos, 4,715 Japanese Americans, and 6,062 Whites. Of the people smoking at least 31 cigarettes per day, there were 759 African Americans, 788 Native Hawaiians, 800 Latinos, 2,305 Japanese Americans, and 3,970 Whites.<\/p>\n<div id=\"fs-idm12518016\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idp16845632\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-idp205148416\">33. Complete the table.<\/p>\n<table summary=\"This is a partially filled observation table with Ethnicity for the columns (2nd to 6th) and Total for the seventh column. The smoking level (4 rows) and the total constitute the rows of the table. 30 blank cells are available.\">\n<caption><span data-type=\"title\">Smoking Levels by Ethnicity (Observed)<\/span><\/caption>\n<colgroup>\n<col data-width=\"150\" \/>\n<col data-width=\"120\" \/>\n<col data-width=\"120\" \/>\n<col data-width=\"80\" \/>\n<col data-width=\"150\" \/>\n<col data-width=\"80\" \/>\n<col data-width=\"80\" \/><\/colgroup>\n<thead>\n<tr>\n<th data-align=\"center\">Smoking Level Per Day<\/th>\n<th data-align=\"center\">African American<\/th>\n<th data-align=\"center\">Native Hawaiian<\/th>\n<th data-align=\"center\">Latino<\/th>\n<th data-align=\"center\">Japanese Americans<\/th>\n<th data-align=\"center\">White<\/th>\n<th data-align=\"center\">TOTALS<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1-10<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>11-20<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>21-30<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>31+<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>TOTALS<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idm6558000\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idp51845072\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idp65899264\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-842abc\">34. State the hypotheses.<\/p>\n<ul>\n<li><em data-effect=\"italics\">H<sub>0<\/sub><\/em>: _______<\/li>\n<li><em data-effect=\"italics\">H<sub>a<\/sub><\/em>: _______<\/li>\n<\/ul>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idp153986240\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idp153898880\" class=\"problem\" data-type=\"problem\">\n<p>35. Enter expected values in the table above. Round to two decimal places.<\/p>\n<p id=\"eip-idm129023760\">Calculate the following values:<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id13657036\" class=\"problem\" data-type=\"problem\">\n<p>36<em data-effect=\"italics\">. df<\/em> = _______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id3392008\" class=\"problem\" data-type=\"problem\">\n<p><span id=\"MathJax-Element-247-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-5352\" class=\"math\"><span id=\"MathJax-Span-5353\" class=\"mrow\"><span id=\"MathJax-Span-5354\" class=\"semantics\"><span id=\"MathJax-Span-5355\" class=\"mrow\"><span id=\"MathJax-Span-5356\" class=\"mrow\"><span id=\"MathJax-Span-5357\" class=\"msup\"><span id=\"MathJax-Span-5358\" class=\"mi\">37. \u03c7<\/span><span id=\"MathJax-Span-5359\" class=\"mtext\">2<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> test statistic = ______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-151\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id13677856\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-267\">38<em data-effect=\"italics\">. p<\/em>-value = ______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id13507289\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-78\">39. Is this a right-tailed, left-tailed, or two-tailed test? Explain why.<\/p>\n<\/div>\n<div id=\"id12956247\" class=\"solution\" data-type=\"solution\">40. Graph the situation. Label and scale the horizontal axis. Mark the mean and test statistic. Shade in the region corresponding to the <em data-effect=\"italics\">p<\/em>-value.<\/div>\n<\/section>\n<\/div>\n<div id=\"element-651\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id13510518\" class=\"problem\" data-type=\"problem\">\n<figure id=\"fs-idp37466400\"><span id=\"id10494834\" data-type=\"media\" data-display=\"block\" data-alt=\"Blank graph with vertical and horizontal axes.\"><img decoding=\"async\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/132\/2016\/04\/21214808\/fig-ch11_11_01.jpg\" alt=\"Blank graph with vertical and horizontal axes.\" width=\"380\" data-media-type=\"image\/jpg\" \/><\/span><\/figure>\n<\/div>\n<\/section>\n<\/div>\n<p>State the decision and conclusion (in a complete sentence) for the following preconceived levels of <em data-effect=\"italics\">\u03b1<\/em>.<\/p>\n<div id=\"element-90\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id13505381\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-764\"><em data-effect=\"italics\">41. \u03b1<\/em> = 0.05<\/p>\n<ol data-number-style=\"lower-alpha\">\n<li>Decision: ___________________<\/li>\n<li>Reason for the decision: ___________________<\/li>\n<li>Conclusion (write out in a complete sentence): ___________________<\/li>\n<\/ol>\n<\/div>\n<div id=\"id10677600\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id12810548\" class=\"problem\" data-type=\"problem\">\n<p>42<em data-effect=\"italics\">. \u03b1<\/em> = 0.01<\/p>\n<ol id=\"list-23536277881\" data-mark-suffix=\".\" data-number-style=\"lower-alpha\">\n<li data-mark-suffix=\".\">Decision: ___________________<\/li>\n<li data-mark-suffix=\".\">Reason for the decision: ___________________<\/li>\n<li data-mark-suffix=\".\">Conclusion (write out in a complete sentence): ___________________<\/li>\n<\/ol>\n<\/div>\n<\/section>\n<\/div>\n<h2>Test for Homogeneity &#8211; Practice<\/h2>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p id=\"eip-973\">43. A math teacher wants to see if two of her classes have the same distribution of test scores. What test should she use?<\/p>\n<\/div>\n<div class=\"solution\" data-type=\"solution\">44. What are the null and alternative hypotheses for 74?<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-854\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>45. A market researcher wants to see if two different stores have the same distribution of sales throughout the year. What type of test should he use?<\/p>\n<\/div>\n<div id=\"eip-309\" class=\"solution\" data-type=\"solution\">46. A meteorologist wants to know if East and West Australia have the same distribution of storms. What type of test should she use?<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-168\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-343\" class=\"problem\" data-type=\"problem\">\n<p>47. What condition must be met to use the test for homogeneity?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<p id=\"eip-idp68604192\"><em data-effect=\"italics\">Use the following information to answer the next five exercises:<\/em> Do private practice doctors and hospital doctors have the same distribution of working hours? Suppose that a sample of 100 private practice doctors and 150 hospital doctors are selected at random and asked about the number of hours a week they work. The results are shown in the table.<\/p>\n<table id=\"eip-idm14786672\" summary=\"..\">\n<thead>\n<tr>\n<th><\/th>\n<th>20\u201330<\/th>\n<th>30\u201340<\/th>\n<th>40\u201350<\/th>\n<th>50\u201360<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Private Practice<\/td>\n<td>16<\/td>\n<td>40<\/td>\n<td>38<\/td>\n<td>6<\/td>\n<\/tr>\n<tr>\n<td>Hospital<\/td>\n<td>8<\/td>\n<td>44<\/td>\n<td>59<\/td>\n<td>39<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p id=\"eip-535\">48. State the null and alternative hypotheses.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p id=\"eip-206\">49<em data-effect=\"italics\">. df<\/em> = _______<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>50. What is the test statistic?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-214\" class=\"problem\" data-type=\"problem\">\n<p>51. What is the <em data-effect=\"italics\">p<\/em>-value?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-393\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-557\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-467\">52. What can you conclude at the 5% significance level?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<h2>Comparison of the Chi-Square Tests &#8211; Practice<\/h2>\n<section class=\"practice\" data-depth=\"1\">\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>53. Which test do you use to decide whether an observed distribution is the same as an expected distribution?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-684\" class=\"problem\" data-type=\"problem\">\n<p>54. What is the null hypothesis for the type of test from 90?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-541\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-195\" class=\"problem\" data-type=\"problem\">\n<p>55. Which test would you use to decide whether two factors have a relationship?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-795\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>56. Which test would you use to decide if two populations have the same distribution?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p id=\"eip-830\">57. How are tests of independence similar to tests for homogeneity?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>58. How are tests of independence different from tests for homogeneity?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<section id=\"fs-idp35566032\" class=\"free-response\" data-depth=\"1\">\n<h2 id=\"fs-idm155789040\">Test of a Single Variance &#8211; Practice<\/h2>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p><em data-effect=\"italics\">Use the following information to answer the next three exercises:<\/em> An archer\u2019s standard deviation for his hits is six (data is measured in distance from the center of the target). An observer claims the standard deviation is less.<\/p>\n<p>59. What type of test should be used?<\/p>\n<\/div>\n<div class=\"solution\" data-type=\"solution\">60. State the null and alternative hypotheses.<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-2\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-330\">61. Is this a right-tailed, left-tailed, or two-tailed test?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<p><em data-effect=\"italics\">Use the following information to answer the next three exercises:<\/em> The standard deviation of heights for students in a school is 0.81. A random sample of 50 students is taken, and the standard deviation of the heights of the sample is 0.96. A researcher in charge of the study believes the standard deviation of heights for the school is greater than 0.81.<\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>62. What type of test should be used?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-721\" class=\"problem\" data-type=\"problem\">\n<p>63. State the null and alternative hypotheses.<\/p>\n<\/div>\n<div class=\"solution\" data-type=\"solution\"><span data-effect=\"italics\">64.\u00a0<\/span><em data-effect=\"italics\">df<\/em> = ________<\/div>\n<\/section>\n<\/div>\n<div data-type=\"newline\"><\/div>\n<p><em data-effect=\"italics\">Use the following information to answer the next four exercises:<\/em> The average waiting time in a doctor\u2019s office varies. The standard deviation of waiting times in a doctor\u2019s office is 3.4 minutes. A random sample of 30 patients in the doctor\u2019s office has a standard deviation of waiting times of 4.1 minutes. One doctor believes the variance of waiting times is greater than originally thought.<\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>65. What type of test should be used?<\/p>\n<\/div>\n<div class=\"solution\" data-type=\"solution\">66. What is the test statistic?<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>67. What is the <em data-effect=\"italics\">p<\/em>-value?<\/p>\n<\/div>\n<div id=\"eip-447\" class=\"solution\" data-type=\"solution\">68. What can you conclude at the 5% significance level?<\/div>\n<\/section>\n<\/div>\n<\/section>\n<div data-type=\"solution\"><\/div>\n<h2 data-type=\"solution\">Facts About the Chi-Square Distribution &#8211; Homework<\/h2>\n<section id=\"fs-idm36620848\" class=\"free-response\" data-depth=\"1\">\n<p id=\"fs-idp40574880\"><em data-effect=\"italics\">Decide whether the following statements are true or false.<\/em><\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088269\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idm37824272\">69. As the number of degrees of freedom increases, the graph of the chi-square distribution looks more and more symmetrical.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-859\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088318\" class=\"problem\" data-type=\"problem\">\n<p>70. The standard deviation of the chi-square distribution is twice the mean.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-389\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088366\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-110\">71. The mean and the median of the chi-square distribution are the same if <em data-effect=\"italics\">df<\/em> = 24.<\/p>\n<\/div>\n<h2>Goodness-of-Fit Test &#8211; Homework<\/h2>\n<section id=\"fs-idp86765760\" class=\"free-response\" data-depth=\"1\">\n<p id=\"element-731\"><em data-effect=\"italics\">For each problem, use a solution sheet to solve the hypothesis test problem. Go to <a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\">Appendix E\u00a0<\/a>for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\n<div id=\"fs-idp12253472\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20683006\" class=\"problem\" data-type=\"problem\">\n<p>72. A six-sided die is rolled 120 times. Fill in the expected frequency column. Then, conduct a hypothesis test to determine if the die is fair. The data in the table below\u00a0are the result of the 120 rolls.<\/p>\n<table id=\"id6180063\" summary=\"This partially filled table presents face value in the first column, frequency in the second column, and relative frequency in the blank third column. There are 6 rows.\">\n<thead>\n<tr>\n<th>Face Value<\/th>\n<th>Frequency<\/th>\n<th>Expected Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>15<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>29<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>16<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>15<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>30<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>15<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-340\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20662365\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-912\">73. The marital status distribution of the U.S. male population, ages 15 and older, is as shown in the table below.<\/p>\n<table id=\"id7856744\" summary=\"This table presents the marital status in the first column, the percent in the second column, and the expected frequency in the blank third column. There are 4 rows.\">\n<thead>\n<tr>\n<th>Marital Status<\/th>\n<th>Percent<\/th>\n<th>Expected Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>never married<\/td>\n<td>31.3<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>married<\/td>\n<td>56.1<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>widowed<\/td>\n<td>2.5<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>divorced\/separated<\/td>\n<td>10.1<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p id=\"id7879714\">Suppose that a random sample of 400 U.S. young adult males, 18 to 24 years old, yielded the following frequency distribution. We are interested in whether this age group of males fits the distribution of the U.S. adult population. Calculate the frequency one would expect when surveying 400 people. Fill in the table, rounding to two decimal places.<\/p>\n<table id=\"id6962175\" summary=\"This table presents the marital status in the first column and the frequency in the second column. There are 4 rows.\">\n<thead>\n<tr>\n<th>Marital Status<\/th>\n<th>Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>never married<\/td>\n<td>140<\/td>\n<\/tr>\n<tr>\n<td>married<\/td>\n<td>238<\/td>\n<\/tr>\n<tr>\n<td>widowed<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>divorced\/separated<\/td>\n<td>20<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"id20567362\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<p id=\"id7851160\"><em data-effect=\"italics\">Use the following information to answer the next two exercises:<\/em> The columns in the table below\u00a0contain the Race\/Ethnicity of U.S. Public Schools for a recent year, the percentages for the Advanced Placement Examinee Population for that class, and the Overall Student Population. Suppose the right column contains the result of a survey of 1,000 local students from that year who took an AP Exam.<\/p>\n<table id=\"id6962388\" summary=\"This table presents the Race\/Ethnicity in the first column, AP Examinee Population in percentages in the second column, Overall Student Population in percentages in the third column, and Survey Frequency in the fourth column. There are six rows.\">\n<thead>\n<tr>\n<th>Race\/Ethnicity<\/th>\n<th>AP Examinee Population<\/th>\n<th>Overall Student Population<\/th>\n<th>Survey Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Asian, Asian American, or Pacific Islander<\/td>\n<td>10.2%<\/td>\n<td>5.4%<\/td>\n<td>113<\/td>\n<\/tr>\n<tr>\n<td>Black or African-American<\/td>\n<td>8.2%<\/td>\n<td>14.5%<\/td>\n<td>94<\/td>\n<\/tr>\n<tr>\n<td>Hispanic or Latino<\/td>\n<td>15.5%<\/td>\n<td>15.9%<\/td>\n<td>136<\/td>\n<\/tr>\n<tr>\n<td>American Indian or Alaska Native<\/td>\n<td>0.6%<\/td>\n<td>1.2%<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>White<\/td>\n<td>59.4%<\/td>\n<td>61.6%<\/td>\n<td>604<\/td>\n<\/tr>\n<tr>\n<td>Not reported\/other<\/td>\n<td>6.1%<\/td>\n<td>1.4%<\/td>\n<td>43<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div id=\"element-683\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20664613\" class=\"problem\" data-type=\"problem\">\n<p>74. Perform a goodness-of-fit test to determine whether the local results follow the distribution of the U.S. overall student population based on ethnicity.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id19495994\" class=\"problem\" data-type=\"problem\">\n<p>75. Perform a goodness-of-fit test to determine whether the local results follow the distribution of the U.S. AP examinee population, based on ethnicity.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-371\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id19496210\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-268\">76. The City of South Lake Tahoe, CA, has an Asian population of 1,419 people, out of a total population of 23,609. Suppose that a survey of 1,419 self-reported Asians in the Manhattan, NY, area yielded the data in the table below. Conduct a goodness-of-fit test to determine if the self-reported sub-groups of Asians in the Manhattan area fit that of the Lake Tahoe area.<\/p>\n<table id=\"id7017535\" summary=\"The table shows race in the first column, Lake Tahoe frequency in the second column, and Manhattan frequency in the blank third column. There are 7 rows.\">\n<thead>\n<tr>\n<th>Race<\/th>\n<th>Lake Tahoe Frequency<\/th>\n<th>Manhattan Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Asian Indian<\/td>\n<td>131<\/td>\n<td>174<\/td>\n<\/tr>\n<tr>\n<td>Chinese<\/td>\n<td>118<\/td>\n<td>557<\/td>\n<\/tr>\n<tr>\n<td>Filipino<\/td>\n<td>1,045<\/td>\n<td>518<\/td>\n<\/tr>\n<tr>\n<td>Japanese<\/td>\n<td>80<\/td>\n<td>54<\/td>\n<\/tr>\n<tr>\n<td>Korean<\/td>\n<td>12<\/td>\n<td>29<\/td>\n<\/tr>\n<tr>\n<td>Vietnamese<\/td>\n<td>9<\/td>\n<td>21<\/td>\n<\/tr>\n<tr>\n<td>Other<\/td>\n<td>24<\/td>\n<td>66<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<p><em data-effect=\"italics\">Use the following information to answer the next two exercises:<\/em> UCLA conducted a survey of more than 263,000 college freshmen from 385 colleges in fall 2005. The results of students&#8217; expected majors by gender were reported in <cite><span data-type=\"cite-title\">The Chronicle of Higher Education (2\/2\/2006)<\/span><\/cite>. Suppose a survey of 5,000 graduating females and 5,000 graduating males was done as a follow-up last year to determine what their actual majors were. The results are shown in the tables below. The second column in each table does not add to 100% because of rounding.<\/p>\n<div id=\"element-465\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20689459\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idm7756464\">77. Conduct a goodness-of-fit test to determine if the actual college majors of graduating females fit the distribution of their expected majors.<\/p>\n<table id=\"id5962699\" summary=\"The table consists of college majors in the first column, expected major percentages for women in the second column and the actual number of women that chose that major in the third column.\">\n<thead>\n<tr>\n<th>Major<\/th>\n<th>Women &#8211; Expected Major<\/th>\n<th>Women &#8211; Actual Major<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Arts &amp; Humanities<\/td>\n<td>14.0%<\/td>\n<td>670<\/td>\n<\/tr>\n<tr>\n<td>Biological Sciences<\/td>\n<td>8.4%<\/td>\n<td>410<\/td>\n<\/tr>\n<tr>\n<td>Business<\/td>\n<td>13.1%<\/td>\n<td>685<\/td>\n<\/tr>\n<tr>\n<td>Education<\/td>\n<td>13.0%<\/td>\n<td>650<\/td>\n<\/tr>\n<tr>\n<td>Engineering<\/td>\n<td>2.6%<\/td>\n<td>145<\/td>\n<\/tr>\n<tr>\n<td>Physical Sciences<\/td>\n<td>2.6%<\/td>\n<td>125<\/td>\n<\/tr>\n<tr>\n<td>Professional<\/td>\n<td>18.9%<\/td>\n<td>975<\/td>\n<\/tr>\n<tr>\n<td>Social Sciences<\/td>\n<td>13.0%<\/td>\n<td>605<\/td>\n<\/tr>\n<tr>\n<td>Technical<\/td>\n<td>0.4%<\/td>\n<td>15<\/td>\n<\/tr>\n<tr>\n<td>Other<\/td>\n<td>5.8%<\/td>\n<td>300<\/td>\n<\/tr>\n<tr>\n<td>Undecided<\/td>\n<td>8.0%<\/td>\n<td>420<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"id20689866\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div id=\"element-100\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20689953\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-idp76093152\">78. Conduct a goodness-of-fit test to determine if the actual college majors of graduating males fit the distribution of their expected majors.<\/p>\n<table id=\"id7788155\" summary=\"The table consists of college majors in the first column, expected major percentages for men in the second column and the actual number of men that chose that major in the third column.\">\n<thead>\n<tr>\n<th>Major<\/th>\n<th>Men &#8211; Expected Major<\/th>\n<th>Men &#8211; Actual Major<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Arts &amp; Humanities<\/td>\n<td>11.0%<\/td>\n<td>600<\/td>\n<\/tr>\n<tr>\n<td>Biological Sciences<\/td>\n<td>6.7%<\/td>\n<td>330<\/td>\n<\/tr>\n<tr>\n<td>Business<\/td>\n<td>22.7%<\/td>\n<td>1130<\/td>\n<\/tr>\n<tr>\n<td>Education<\/td>\n<td>5.8%<\/td>\n<td>305<\/td>\n<\/tr>\n<tr>\n<td>Engineering<\/td>\n<td>15.6%<\/td>\n<td>800<\/td>\n<\/tr>\n<tr>\n<td>Physical Sciences<\/td>\n<td>3.6%<\/td>\n<td>175<\/td>\n<\/tr>\n<tr>\n<td>Professional<\/td>\n<td>9.3%<\/td>\n<td>460<\/td>\n<\/tr>\n<tr>\n<td>Social Sciences<\/td>\n<td>7.6%<\/td>\n<td>370<\/td>\n<\/tr>\n<tr>\n<td>Technical<\/td>\n<td>1.8%<\/td>\n<td>90<\/td>\n<\/tr>\n<tr>\n<td>Other<\/td>\n<td>8.2%<\/td>\n<td>400<\/td>\n<\/tr>\n<tr>\n<td>Undecided<\/td>\n<td>6.6%<\/td>\n<td>340<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<p id=\"fs-idm78408704\"><em data-effect=\"italics\">Read the statement and decide whether it is true or false.<\/em><\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088445\" class=\"problem\" data-type=\"problem\">\n<p>79. In a goodness-of-fit test, the expected values are the values we would expect if the null hypothesis were true.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088495\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-639\">80. In general, if the observed values and expected values of a goodness-of-fit test are not close together, then the test statistic can get very large and on a graph will be way out in the right tail.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-473\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088594\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idm28021808\">81. Use a goodness-of-fit test to determine if high school principals believe that students are absent equally during the week or not.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088742\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-556\">82. The test to use to determine if a six-sided die is fair is a goodness-of-fit test.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-516\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088842\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-153\">83. In a goodness-of-fit test, if the <em data-effect=\"italics\">p<\/em>-value is 0.0113, in general, do not reject the null hypothesis.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>84. A sample of 212 commercial businesses was surveyed for recycling one commodity; a commodity here means any one type of recyclable material such as plastic or aluminum. the table below\u00a0shows the business categories in the survey, the sample size of each category, and the number of businesses in each category that recycle one commodity. Based on the study, on average half of the businesses were expected to be recycling one commodity. As a result, the last column shows the expected number of businesses in each category that recycle one commodity. At the 5% significance level, perform a hypothesis test to determine if the observed number of businesses that recycle one commodity follows the uniform distribution of the expected values.<\/p>\n<table id=\"fs-idm103073456\" summary=\"\">\n<thead>\n<tr>\n<th>Business Type<\/th>\n<th>Number in class<\/th>\n<th>Observed Number that recycle one commodity<\/th>\n<th>Expected number that recycle one commodity<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Office<\/td>\n<td>35<\/td>\n<td>19<\/td>\n<td>17.5<\/td>\n<\/tr>\n<tr>\n<td>Retail\/Wholesale<\/td>\n<td>48<\/td>\n<td>27<\/td>\n<td>24<\/td>\n<\/tr>\n<tr>\n<td>Food\/Restaurants<\/td>\n<td>53<\/td>\n<td>35<\/td>\n<td>26.5<\/td>\n<\/tr>\n<tr>\n<td>Manufacturing\/Medical<\/td>\n<td>52<\/td>\n<td>21<\/td>\n<td>26<\/td>\n<\/tr>\n<tr>\n<td>Hotel\/Mixed<\/td>\n<td>24<\/td>\n<td>9<\/td>\n<td>12<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-152\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>85. The table below contains information from a survey among 499 participants classified according to their age groups. The second column shows the percentage of obese people per age class among the study participants. The last column comes from a different study at the national level that shows the corresponding percentages of obese people in the same age classes in the USA. Perform a hypothesis test at the 5% significance level to determine whether the survey participants are a representative sample of the USA obese population.<\/p>\n<table id=\"fs-idm106414640\" summary=\"\">\n<thead>\n<tr>\n<th>Age Class (Years)<\/th>\n<th>Obese (Percentage)<\/th>\n<th>Expected USA average (Percentage)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>20\u201330<\/td>\n<td>75.0<\/td>\n<td>32.6<\/td>\n<\/tr>\n<tr>\n<td>31\u201340<\/td>\n<td>26.5<\/td>\n<td>32.6<\/td>\n<\/tr>\n<tr>\n<td>41\u201350<\/td>\n<td>13.6<\/td>\n<td>36.6<\/td>\n<\/tr>\n<tr>\n<td>51\u201360<\/td>\n<td>21.9<\/td>\n<td>36.6<\/td>\n<\/tr>\n<tr>\n<td>61\u201370<\/td>\n<td>21.0<\/td>\n<td>39.7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<h2>Test of Independence &#8211; Homework<\/h2>\n<section id=\"fs-idm54060384\" class=\"free-response\" data-depth=\"1\">\n<p id=\"fs-idp19244768\"><em data-effect=\"italics\">For each problem, use a solution sheet to solve the hypothesis test problem. Go to <a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\" data-page=\"99\">Appendix E<\/a>\u00a0for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20690433\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-506\">86. A recent debate about where in the United States skiers believe skiing is best prompted the following survey. Test to see if the best ski area is independent of the level of the skier.<\/p>\n<table id=\"id7787415\" summary=\"The table has the level of the skier from second to fourth column with the first column as being U.S. Ski Area. There are three rows.\">\n<thead>\n<tr>\n<th>U.S. Ski Area<\/th>\n<th>Beginner<\/th>\n<th>Intermediate<\/th>\n<th>Advanced<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Tahoe<\/td>\n<td>20<\/td>\n<td>30<\/td>\n<td>40<\/td>\n<\/tr>\n<tr>\n<td>Utah<\/td>\n<td>10<\/td>\n<td>30<\/td>\n<td>60<\/td>\n<\/tr>\n<tr>\n<td>Colorado<\/td>\n<td>10<\/td>\n<td>40<\/td>\n<td>50<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm133556096\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20690775\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-887\">87. Car manufacturers are interested in whether there is a relationship between the size of a car an individual drives and the number of people in the driver\u2019s family (that is, whether car size and family size are independent). To test this, suppose that 800 car owners were randomly surveyed with the results in the table. Conduct a test of independence.<\/p>\n<table id=\"id6178445\" summary=\"This table has family size in the first column and car size from columns 2-5. There are 4 rows.\">\n<thead>\n<tr>\n<th>Family Size<\/th>\n<th>Sub &amp; Compact<\/th>\n<th>Mid-size<\/th>\n<th>Full-size<\/th>\n<th>Van &amp; Truck<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>20<\/td>\n<td>35<\/td>\n<td>40<\/td>\n<td>35<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>20<\/td>\n<td>50<\/td>\n<td>70<\/td>\n<td>80<\/td>\n<\/tr>\n<tr>\n<td>3\u20134<\/td>\n<td>20<\/td>\n<td>50<\/td>\n<td>100<\/td>\n<td>90<\/td>\n<\/tr>\n<tr>\n<td>5+<\/td>\n<td>20<\/td>\n<td>30<\/td>\n<td>70<\/td>\n<td>70<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idp45408448\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20691133\" class=\"problem\" data-type=\"problem\">\n<p>88. College students may be interested in whether or not their majors have any effect on starting salaries after graduation. Suppose that 300 recent graduates were surveyed as to their majors in college and their starting salaries after graduation. The table below\u00a0shows the data. Conduct a test of independence.<\/p>\n<table id=\"id7852811\" summary=\"The table has the starting salary along the top from column 2-4 and the major in the first column. There are 5 rows.\">\n<thead>\n<tr>\n<th>Major<\/th>\n<th>&lt; $50,000<\/th>\n<th>$50,000 \u2013 $68,999<\/th>\n<th>$69,000 +<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>English<\/td>\n<td>5<\/td>\n<td>20<\/td>\n<td>5<\/td>\n<\/tr>\n<tr>\n<td>Engineering<\/td>\n<td>10<\/td>\n<td>30<\/td>\n<td>60<\/td>\n<\/tr>\n<tr>\n<td>Nursing<\/td>\n<td>10<\/td>\n<td>15<\/td>\n<td>15<\/td>\n<\/tr>\n<tr>\n<td>Business<\/td>\n<td>10<\/td>\n<td>20<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>Psychology<\/td>\n<td>20<\/td>\n<td>30<\/td>\n<td>20<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-8d1\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20691551\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-47aa7\">89. Some travel agents claim that honeymoon hot spots vary according to age of the bride. Suppose that 280 recent brides were interviewed as to where they spent their honeymoons. The information is given in <a class=\"autogenerated-content\" href=\"http:\/\/cnx.org\/contents\/30189442-6998-4686-ac05-ed152b91b9de@17.44:73\/Test-of-Independence#id78334ss42\">Table<\/a>. Conduct a test of independence.<\/p>\n<table id=\"id78334ss42\" summary=\"This table has the age of the bride along the top from columns 2-4 and the location in the first column. There are 4 rows.\">\n<thead>\n<tr>\n<th>Location<\/th>\n<th>20\u201329<\/th>\n<th>30\u201339<\/th>\n<th>40\u201349<\/th>\n<th>50 and over<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Niagara Falls<\/td>\n<td>15<\/td>\n<td>25<\/td>\n<td>25<\/td>\n<td>20<\/td>\n<\/tr>\n<tr>\n<td>Poconos<\/td>\n<td>15<\/td>\n<td>25<\/td>\n<td>25<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>Europe<\/td>\n<td>10<\/td>\n<td>25<\/td>\n<td>15<\/td>\n<td>5<\/td>\n<\/tr>\n<tr>\n<td>Virgin Islands<\/td>\n<td>20<\/td>\n<td>25<\/td>\n<td>15<\/td>\n<td>5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idp45475856\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20691902\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-870\">90. A manager of a sports club keeps information concerning the main sport in which members participate and their ages. To test whether there is a relationship between the age of a member and his or her choice of sport, 643 members of the sports club are randomly selected. Conduct a test of independence.<\/p>\n<table id=\"id7834002\" summary=\"The table has the age from columns 2-5 and sport in the first column. There are three rows.\">\n<thead>\n<tr>\n<th>Sport<\/th>\n<th>18 &#8211; 25<\/th>\n<th>26 &#8211; 30<\/th>\n<th>31 &#8211; 40<\/th>\n<th>41 and over<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>racquetball<\/td>\n<td>42<\/td>\n<td>58<\/td>\n<td>30<\/td>\n<td>46<\/td>\n<\/tr>\n<tr>\n<td>tennis<\/td>\n<td>58<\/td>\n<td>76<\/td>\n<td>38<\/td>\n<td>65<\/td>\n<\/tr>\n<tr>\n<td>swimming<\/td>\n<td>72<\/td>\n<td>60<\/td>\n<td>65<\/td>\n<td>33<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm153473104\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20692285\" class=\"problem\" data-type=\"problem\">\n<p>91. A major food manufacturer is concerned that the sales of its skinny french fries have been decreasing. As a part of a feasibility study, the company conducts research into the types of fries sold across the country to determine if the type of fries sold is independent of the area of the country. The results of the study are shown in the table. Conduct a test of independence.<\/p>\n<table id=\"id6092701\" summary=\"The table has area of country along the top from columns 2-5 and type of fries in the first column. There are three rows.\">\n<thead>\n<tr>\n<th>Type of Fries<\/th>\n<th>Northeast<\/th>\n<th>South<\/th>\n<th>Central<\/th>\n<th>West<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>skinny fries<\/td>\n<td>70<\/td>\n<td>50<\/td>\n<td>20<\/td>\n<td>25<\/td>\n<\/tr>\n<tr>\n<td>curly fries<\/td>\n<td>100<\/td>\n<td>60<\/td>\n<td>15<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>steak fries<\/td>\n<td>20<\/td>\n<td>40<\/td>\n<td>10<\/td>\n<td>10<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idp17240224\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20692592\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idm168518032\">92. According to Dan Lenard, an independent insurance agent in the Buffalo, N.Y. area, the following is a breakdown of the amount of life insurance purchased by males in the following age groups. He is interested in whether the age of the male and the amount of life insurance purchased are independent events. Conduct a test for independence.<\/p>\n<table id=\"id7819090\" summary=\"The table presents the amount of life insurance purchased along the top from columns 2-6 and age of males in the first column. There are 4 rows.\">\n<thead>\n<tr>\n<th>Age of Males<\/th>\n<th>None<\/th>\n<th>&lt; $200,000<\/th>\n<th>$200,000\u2013$400,000<\/th>\n<th>$401,001\u2013$1,000,000<\/th>\n<th>$1,000,001+<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>20\u201329<\/td>\n<td>40<\/td>\n<td>15<\/td>\n<td>40<\/td>\n<td>0<\/td>\n<td>5<\/td>\n<\/tr>\n<tr>\n<td>30\u201339<\/td>\n<td>35<\/td>\n<td>5<\/td>\n<td>20<\/td>\n<td>20<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>40\u201349<\/td>\n<td>20<\/td>\n<td>0<\/td>\n<td>30<\/td>\n<td>0<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>50+<\/td>\n<td>40<\/td>\n<td>30<\/td>\n<td>15<\/td>\n<td>15<\/td>\n<td>10<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21086869\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-186\">93. Suppose that 600 thirty-year-olds were surveyed to determine whether or not there is a relationship between the level of education an individual has and salary. Conduct a test of independence.<\/p>\n<table id=\"id7819454\" summary=\"The table presents the level of education along the top from columns 2-5 and annual salary in the first column. There are 5 rows.\">\n<thead>\n<tr>\n<th>Annual Salary<\/th>\n<th>Not a high school graduate<\/th>\n<th>High school graduate<\/th>\n<th>College graduate<\/th>\n<th>Masters or doctorate<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>&lt; $30,000<\/td>\n<td>15<\/td>\n<td>25<\/td>\n<td>10<\/td>\n<td>5<\/td>\n<\/tr>\n<tr>\n<td>$30,000\u2013$40,000<\/td>\n<td>20<\/td>\n<td>40<\/td>\n<td>70<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>$40,000\u2013$50,000<\/td>\n<td>10<\/td>\n<td>20<\/td>\n<td>40<\/td>\n<td>55<\/td>\n<\/tr>\n<tr>\n<td>$50,000\u2013$60,000<\/td>\n<td>5<\/td>\n<td>10<\/td>\n<td>20<\/td>\n<td>60<\/td>\n<\/tr>\n<tr>\n<td>$60,000+<\/td>\n<td>0<\/td>\n<td>5<\/td>\n<td>10<\/td>\n<td>150<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"eip-idm117790352\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<p id=\"fs-idm14785440\"><em data-effect=\"italics\">Read the statement and decide whether it is true or false.<\/em><\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088545\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-470\">94. The number of degrees of freedom for a test of independence is equal to the sample size minus one.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-688\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088644\" class=\"problem\" data-type=\"problem\">\n<p>95. The test for independence uses tables of observed and expected data values.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088692\" class=\"problem\" data-type=\"problem\">\n<p>96. The test to use when determining if the college or university a student chooses to attend is related to his or her socioeconomic status is a test for independence.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>97. In a test of independence, the expected number is equal to the row total multiplied by the column total divided by the total surveyed.<\/p>\n<\/div>\n<div id=\"id21088762\" class=\"solution\" data-type=\"solution\">98. An ice cream maker performs a nationwide survey about favorite flavors of ice cream in different geographic areas of the U.S. Based on the table, do the numbers suggest that geographic location is independent of favorite ice cream flavors? Test at the 5% significance level.<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<table id=\"fs-idp162013328\" summary=\"\">\n<thead>\n<tr>\n<th>U.S. region\/Flavor<\/th>\n<th>Strawberry<\/th>\n<th>Chocolate<\/th>\n<th>Vanilla<\/th>\n<th>Rocky Road<\/th>\n<th>Mint Chocolate Chip<\/th>\n<th>Pistachio<\/th>\n<th>Row total<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>West<\/td>\n<td>12<\/td>\n<td>21<\/td>\n<td>22<\/td>\n<td>19<\/td>\n<td>15<\/td>\n<td>8<\/td>\n<td>97<\/td>\n<\/tr>\n<tr>\n<td>Midwest<\/td>\n<td>10<\/td>\n<td>32<\/td>\n<td>22<\/td>\n<td>11<\/td>\n<td>15<\/td>\n<td>6<\/td>\n<td>96<\/td>\n<\/tr>\n<tr>\n<td>East<\/td>\n<td>8<\/td>\n<td>31<\/td>\n<td>27<\/td>\n<td>8<\/td>\n<td>15<\/td>\n<td>7<\/td>\n<td>96<\/td>\n<\/tr>\n<tr>\n<td>South<\/td>\n<td>15<\/td>\n<td>28<\/td>\n<td>30<\/td>\n<td>8<\/td>\n<td>15<\/td>\n<td>6<\/td>\n<td>102<\/td>\n<\/tr>\n<tr>\n<td>Column Total<\/td>\n<td>45<\/td>\n<td>112<\/td>\n<td>101<\/td>\n<td>46<\/td>\n<td>60<\/td>\n<td>27<\/td>\n<td>391<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-751\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-130\">99. The table provides a recent survey of the youngest online entrepreneurs whose net worth is estimated at one million dollars or more. Their ages range from 17 to 30. Each cell in the table illustrates the number of entrepreneurs who correspond to the specific age group and their net worth. Are the ages and net worth independent? Perform a test of independence at the 5% significance level.<\/p>\n<table id=\"fs-idp932416\" summary=\"\">\n<thead>\n<tr>\n<th>Age Group\\ Net Worth Value (in millions of US dollars)<\/th>\n<th>1\u20135<\/th>\n<th>6\u201324<\/th>\n<th>\u226525<\/th>\n<th>Row Total<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>17\u201325<\/td>\n<td>8<\/td>\n<td>7<\/td>\n<td>5<\/td>\n<td>20<\/td>\n<\/tr>\n<tr>\n<td>26\u201330<\/td>\n<td>6<\/td>\n<td>5<\/td>\n<td>9<\/td>\n<td>20<\/td>\n<\/tr>\n<tr>\n<td>Column Total<\/td>\n<td>14<\/td>\n<td>12<\/td>\n<td>14<\/td>\n<td>40<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div id=\"eip-433\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-876\" class=\"problem\" data-type=\"problem\">\n<p>100. A 2013 poll in California surveyed people about taxing sugar-sweetened beverages. The results are presented in the table and are classified by ethnic group and response type. Are the poll responses independent of the participants\u2019 ethnic group? Conduct a test of independence at the 5% significance level.<\/p>\n<table id=\"eip-idm61320176\" summary=\"\">\n<thead>\n<tr>\n<th>Opinion\/Ethnicity<\/th>\n<th>Asian-American<\/th>\n<th>White\/Non-Hispanic<\/th>\n<th>African-American<\/th>\n<th>Latino<\/th>\n<th>Row Total<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Against tax<\/td>\n<td>48<\/td>\n<td>433<\/td>\n<td>41<\/td>\n<td>160<\/td>\n<td>628<\/td>\n<\/tr>\n<tr>\n<td>In Favor of tax<\/td>\n<td>54<\/td>\n<td>234<\/td>\n<td>24<\/td>\n<td>147<\/td>\n<td>459<\/td>\n<\/tr>\n<tr>\n<td>No opinion<\/td>\n<td>16<\/td>\n<td>43<\/td>\n<td>16<\/td>\n<td>19<\/td>\n<td>84<\/td>\n<\/tr>\n<tr>\n<td>Column Total<\/td>\n<td>118<\/td>\n<td>710<\/td>\n<td>71<\/td>\n<td>272<\/td>\n<td>1171<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<h2>Test for Homogeneity &#8211; Homework<\/h2>\n<section class=\"free-response\" data-depth=\"1\">\n<p id=\"fs-idm2453104\"><em data-effect=\"italics\">For each word problem, use a solution sheet to solve the hypothesis test problem. Go to <a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\">Appendix E\u00a0<\/a>for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>101. A psychologist is interested in testing whether there is a difference in the distribution of personality types for business majors and social science majors. The results of the study are shown in the table. Conduct a test of homogeneity. Test at a 5% level of significance.<\/p>\n<table summary=\"The table presents personality types along the top from columns 2-6 and major (business and social science) in the first column. There are 3 rows.\">\n<tbody>\n<tr>\n<td><\/td>\n<td><strong>Open<\/strong><\/td>\n<td><strong>Conscientious<\/strong><\/td>\n<td><strong>Extrovert<\/strong><\/td>\n<td><strong>Agreeable<\/strong><\/td>\n<td><strong>Neurotic<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Business<\/strong><\/td>\n<td>41<\/td>\n<td>52<\/td>\n<td>46<\/td>\n<td>61<\/td>\n<td>58<\/td>\n<\/tr>\n<tr>\n<td><strong>Social Science<\/strong><\/td>\n<td>72<\/td>\n<td>75<\/td>\n<td>63<\/td>\n<td>80<\/td>\n<td>65<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-252\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-617\">102. Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at a popular breakfast place are shown in the table. Conduct a test for homogeneity at a 5% level of significance.<\/p>\n<table id=\"eip-id1167950422174\" summary=\"The table presents personality types along the top from columns 2-6 and major (business and social science) in the first column. There are 3 rows.\">\n<tbody>\n<tr>\n<td><\/td>\n<td><strong>French Toast<\/strong><\/td>\n<td><strong>Pancakes<\/strong><\/td>\n<td><strong>Waffles<\/strong><\/td>\n<td><strong>Omelettes<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Men<\/strong><\/td>\n<td>47<\/td>\n<td>35<\/td>\n<td>28<\/td>\n<td>53<\/td>\n<\/tr>\n<tr>\n<td><strong>Women<\/strong><\/td>\n<td>65<\/td>\n<td>59<\/td>\n<td>55<\/td>\n<td>60<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-561\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-737\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-224\">103. A fisherman is interested in whether the distribution of fish caught in Green Valley Lake is the same as the distribution of fish caught in Echo Lake. Of the 191 randomly selected fish caught in Green Valley Lake, 105 were rainbow trout, 27 were other trout, 35 were bass, and 24 were catfish. Of the 293 randomly selected fish caught in Echo Lake, 115 were rainbow trout, 58 were other trout, 67 were bass, and 53 were catfish. Perform a test for homogeneity at a 5% level of significance.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-784\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-70\">104. In 2007, the United States had 1.5 million homeschooled students, according to the U.S. National Center for Education Statistics. In the table below\u00a0you can see that parents decide to homeschool their children for different reasons, and some reasons are ranked by parents as more important than others. According to the survey results shown in the table, is the distribution of applicable reasons the same as the distribution of the most important reason? Provide your assessment at the 5% significance level. Did you expect the result you obtained?<\/p>\n<table id=\"eip-idm1189216\" summary=\"\">\n<colgroup>\n<col data-width=\"180\" \/>\n<col data-width=\"180\" \/>\n<col data-width=\"180\" \/>\n<col data-width=\"70\" \/><\/colgroup>\n<thead>\n<tr>\n<th>Reasons for Homeschooling<\/th>\n<th>Applicable Reason (in thousands of respondents)<\/th>\n<th>Most Important Reason (in thousands of respondents)<\/th>\n<th>Row Total<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Concern about the environment of other schools<\/td>\n<td>1,321<\/td>\n<td>309<\/td>\n<td>1,630<\/td>\n<\/tr>\n<tr>\n<td>Dissatisfaction with academic instruction at other schools<\/td>\n<td>1,096<\/td>\n<td>258<\/td>\n<td>1,354<\/td>\n<\/tr>\n<tr>\n<td>To provide religious or moral instruction<\/td>\n<td>1,257<\/td>\n<td>540<\/td>\n<td>1,797<\/td>\n<\/tr>\n<tr>\n<td>Child has special needs, other than physical or mental<\/td>\n<td>315<\/td>\n<td>55<\/td>\n<td>370<\/td>\n<\/tr>\n<tr>\n<td>Nontraditional approach to child\u2019s education<\/td>\n<td>984<\/td>\n<td>99<\/td>\n<td>1,083<\/td>\n<\/tr>\n<tr>\n<td>Other reasons (e.g., finances, travel, family time, etc.)<\/td>\n<td>485<\/td>\n<td>216<\/td>\n<td>701<\/td>\n<\/tr>\n<tr>\n<td>Column Total<\/td>\n<td>5,458<\/td>\n<td>1,477<\/td>\n<td>6,935<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>105. When looking at energy consumption, we are often interested in detecting trends over time and how they correlate among different countries. The information in the table\u00a0shows the average energy use (in units of kg of oil equivalent per capita) in the USA and the joint European Union countries (EU) for the six-year period 2005 to 2010. Do the energy use values in these two areas come from the same distribution? Perform the analysis at the 5% significance level.<\/p>\n<table id=\"eip-idp102538544\" summary=\"\">\n<thead>\n<tr>\n<th>Year<\/th>\n<th>European Union<\/th>\n<th>United States<\/th>\n<th>Row Total<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>2010<\/td>\n<td>3,413<\/td>\n<td>7,164<\/td>\n<td>10,557<\/td>\n<\/tr>\n<tr>\n<td>2009<\/td>\n<td>3,302<\/td>\n<td>7,057<\/td>\n<td>10,359<\/td>\n<\/tr>\n<tr>\n<td>2008<\/td>\n<td>3,505<\/td>\n<td>7,488<\/td>\n<td>10,993<\/td>\n<\/tr>\n<tr>\n<td>2007<\/td>\n<td>3,537<\/td>\n<td>7,758<\/td>\n<td>11,295<\/td>\n<\/tr>\n<tr>\n<td>2006<\/td>\n<td>3,595<\/td>\n<td>7,697<\/td>\n<td>11,292<\/td>\n<\/tr>\n<tr>\n<td>2005<\/td>\n<td>3,613<\/td>\n<td>7,847<\/td>\n<td>11,460<\/td>\n<\/tr>\n<tr>\n<td>Column Total<\/td>\n<td>45,011<\/td>\n<td>20,965<\/td>\n<td>65,976<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"fs-idm43380128\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<div id=\"eip-653\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\">\n<p>106. The Insurance Institute for Highway Safety collects safety information about all types of cars every year, and publishes a report of Top Safety Picks among all cars, makes, and models. The table below\u00a0presents the number of Top Safety Picks in six car categories for the two years 2009 and 2013. Analyze the table data to conclude whether the distribution of cars that earned the Top Safety Picks safety award has remained the same between 2009 and 2013. Derive your results at the 5% significance level.<\/p>\n<table id=\"eip-idp53245072\" summary=\"\">\n<thead>\n<tr>\n<th>Year \\ Car Type<\/th>\n<th>Small<\/th>\n<th>Mid-Size<\/th>\n<th>Large<\/th>\n<th>Small SUV<\/th>\n<th>Mid-Size SUV<\/th>\n<th>Large SUV<\/th>\n<th>Row Total<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>2009<\/td>\n<td>12<\/td>\n<td>22<\/td>\n<td>10<\/td>\n<td>10<\/td>\n<td>27<\/td>\n<td>6<\/td>\n<td>87<\/td>\n<\/tr>\n<tr>\n<td>2013<\/td>\n<td>31<\/td>\n<td>30<\/td>\n<td>19<\/td>\n<td>11<\/td>\n<td>29<\/td>\n<td>4<\/td>\n<td>124<\/td>\n<\/tr>\n<tr>\n<td><strong>Column Total<\/strong><\/td>\n<td>43<\/td>\n<td>52<\/td>\n<td>29<\/td>\n<td>21<\/td>\n<td>56<\/td>\n<td>10<\/td>\n<td>211<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<div class=\"solution\" data-type=\"solution\">\n<h2>Comparison of the Chi-Square Tests &#8211; Homework<\/h2>\n<section id=\"fs-idp35566032\" class=\"free-response\" data-depth=\"1\">\n<p id=\"fs-idm155789040\"><em data-effect=\"italics\">For each word problem, use a solution sheet to solve the hypothesis test problem. Go to\u00a0<a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\">Appendix E<\/a>\u00a0for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-604\" class=\"problem\" data-type=\"problem\">\n<p>107. Is there a difference between the distribution of community college statistics students and the distribution of university statistics students in what technology they use on their homework? Of some randomly selected community college students, 43 used a computer, 102 used a calculator with built-in statistics functions, and 65 used a table from the textbook. Of some randomly selected university students, 28 used a computer, 33 used a calculator with built-in statistics functions, and 40 used a table from a textbook. Conduct an appropriate hypothesis test using a 0.05 level of significance.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<p id=\"fs-idm173269120\">Read the statement and decide whether it is true or false.<\/p>\n<div id=\"element-963\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088939\" class=\"problem\" data-type=\"problem\">\n<p>108. If <em data-effect=\"italics\">df<\/em> = 2, the chi-square distribution has a shape that reminds us of the exponential.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<section id=\"eip-idp90445392\" class=\"bring-together-homework\" data-depth=\"1\">\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id20682914\" class=\"problem\" data-type=\"problem\">\n<h2>Test of a Single Variance &#8211; Homework<\/h2>\n<\/div>\n<section class=\"practice\" data-depth=\"1\">\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div class=\"problem\" data-type=\"problem\"><\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-447\" class=\"solution\" data-type=\"solution\"><\/div>\n<\/section>\n<\/div>\n<\/section>\n<section id=\"fs-idm85852512\" class=\"free-response\" data-depth=\"1\"><em data-effect=\"italics\">Use the following information to answer the next twelve exercises:<\/em> Suppose an airline claims that its flights are consistently on time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is no more than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next 25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes.<\/p>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id47989189\" class=\"problem\" data-type=\"problem\">\n<p>109. Is the traveler disputing the claim about the average or about the variance?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm21799472\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idm24338816\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idp8330400\">110. A sample standard deviation of 15 minutes is the same as a sample variance of __________ minutes.<\/p>\n<\/div>\n<div id=\"fs-idm2415952\" class=\"solution\" data-type=\"solution\">111. Is this a right-tailed, left-tailed, or two-tailed test?<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm22555680\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idm53291472\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idp8181296\">112<em data-effect=\"italics\">. H<sub>0<\/sub><\/em>: __________<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm2265776\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idp79398304\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idp135560176\">113<em data-effect=\"italics\">. df<\/em> = ________<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm22718256\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idm20943008\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idm46019072\">114. chi-square test statistic = ________<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm70553440\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idp47518368\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idp34036528\">115<em data-effect=\"italics\">. p<\/em>-value = ________<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idp82699488\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idm73044992\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idm74715968\">116. Graph the situation. Label and scale the horizontal axis. Mark the mean and test statistic. Shade the <em data-effect=\"italics\">p<\/em>-value.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm73610688\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<p id=\"fs-idm24034400\">117. Let <em data-effect=\"italics\">\u03b1<\/em> = 0.05<\/p>\n<ol>\n<li>Decision: ________<\/li>\n<li>Conclusion (write out in a complete sentence.): ________<\/li>\n<\/ol>\n<\/section>\n<\/div>\n<div id=\"eip-572\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-idp77356624\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-idp77356880\">118. How did you know to test the variance instead of the mean?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-idp189612400\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-idp79174704\">119. If an additional test were done on the claim of the average delay, which distribution would you use?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-idm34189536\" class=\"problem\" data-type=\"problem\">\n<p id=\"eip-idp107850688\">120. If an additional test were done on the claim of the average delay, but 45 flights were surveyed, which distribution would you use?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<p><em data-effect=\"italics\">For each word problem, use a solution sheet to solve the hypothesis test problem. Go to\u00a0<a href=\"https:\/\/courses.candelalearning.com\/introstats1xmaster\/back-matter\/appendix-e-solution-sheets\/\" target=\"_blank\" rel=\"noopener\">Appendix E<\/a>\u00a0for the chi-square solution sheet. Round expected frequency to two decimal places.<\/em><\/p>\n<div id=\"fs-idp51794048\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"fs-idp51794176\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idm36035424\">121. A plant manager is concerned her equipment may need recalibrating. It seems that the actual weight of the 15 oz. cereal boxes it fills has been fluctuating. The standard deviation should be at most 0.5 oz. In order to determine if the machine needs to be recalibrated, 84 randomly selected boxes of cereal from the next day\u2019s production were weighed. The standard deviation of the 84 boxes was 0.54. Does the machine need to be recalibrated?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-377ab\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21087432\" class=\"problem\" data-type=\"problem\">\n<p>122. Consumers may be interested in whether the cost of a particular calculator varies from store to store. Based on surveying 43 stores, which yielded a sample mean of $84 and a sample standard deviation of $12, test the claim that the standard deviation is greater than $15.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"fs-idm4701360\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21087466\" class=\"problem\" data-type=\"problem\">\n<p>123. Isabella, an accomplished <strong>Bay to Breakers<\/strong> runner, claims that the standard deviation for her time to run the 7.5-mile race is at most three minutes. To test her claim, Rupinder looks up five of her race times. They are 55 minutes, 61 minutes, 58 minutes, 63 minutes, and 57 minutes.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21087604\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-776\">124. Airline companies are interested in the consistency of the number of babies on each flight so that they have adequate safety equipment. They are also interested in the variation in the number of babies. Suppose that an airline executive believes the average number of babies on flights is six with a variance of nine at most. The airline conducts a survey. The results of the 18 flights surveyed give a sample average of 6.4 with a sample standard deviation of 3.9. Conduct a hypothesis test of the airline executive\u2019s belief.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"element-559\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21087650\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-641\">125. The number of births per woman in China is 1.6 down from 5.91 in 1966. This fertility rate has been attributed to the law passed in 1979 restricting births to one per woman. Suppose that a group of students studied whether or not the standard deviation of births per woman was greater than 0.75. They asked 50 women across China the number of births they had had. The results are shown in the table below. Does the students\u2019 survey indicate that the standard deviation is greater than 0.75?<\/p>\n<table id=\"id6106431\" summary=\"The table has the number of births in the first column and the frequency in the second column. There are 4 rows.\">\n<thead>\n<tr>\n<th># of births<\/th>\n<th>Frequency<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>0<\/td>\n<td>5<\/td>\n<\/tr>\n<tr>\n<td>1<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21087968\" class=\"problem\" data-type=\"problem\">\n<p id=\"element-381\">126. According to an avid aquarist, the average number of fish in a 20-gallon tank is 10, with a standard deviation of two. His friend, also an aquarist, does not believe that the standard deviation is two. She counts the number of fish in 15 other 20-gallon tanks. Based on the results that follow, do you think that the standard deviation is different from two? Data: 11; 10; 9; 10; 10; 11; 11; 10; 12; 9; 7; 9; 11; 10; 11<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"id21088008\" class=\"problem\" data-type=\"problem\">\n<p id=\"fs-idp7606224\">127. The manager of &#8220;Frenchies&#8221; is concerned that patrons are not consistently receiving the same amount of French fries with each order. The chef claims that the standard deviation for a ten-ounce order of fries is at most 1.5 oz., but the manager thinks that it may be higher. He randomly weighs 49 orders of fries, which yields a mean of 11 oz. and a standard deviation of two oz.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-340\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-90\" class=\"problem\" data-type=\"problem\">\n<p>128. You want to buy a specific computer. A sales representative of the manufacturer claims that retail stores sell this computer at an average price of $1,249 with a very narrow standard deviation of $25. You find a website that has a price comparison for the same computer at a series of stores as follows: $1,299; $1,229.99; $1,193.08; $1,279; $1,224.95; $1,229.99; $1,269.95; $1,249. Can you argue that pricing has a larger standard deviation than claimed by the manufacturer? Use the 5% significance level. As a potential buyer, what would be the practical conclusion from your analysis?<\/p>\n<\/div>\n<\/section>\n<\/div>\n<div id=\"eip-idp39276048\" class=\"exercise\" data-type=\"exercise\">\n<section>\n<div id=\"eip-idp39276176\" class=\"problem\" data-type=\"problem\">\n<p>129. A company packages apples by weight. One of the weight grades is Class A apples. Class A apples have a mean weight of 150 g, and there is a maximum allowed weight tolerance of 5% above or below the mean for apples in the same consumer package. A batch of apples is selected to be included in a Class A apple package. Given the following apple weights of the batch, does the fruit comply with the Class A grade weight tolerance requirements? Conduct an appropriate hypothesis test.<\/p>\n<p id=\"eip-idp93825408\">(a) at the 5% significance level<\/p>\n<p id=\"eip-idp25991408\">(b) at the 1% significance level<\/p>\n<p id=\"eip-idm53488240\">Weights in selected apple batch (in grams): 158; 167; 149; 169; 164; 139; 154; 150; 157; 171; 152; 161; 141; 166; 172;<\/p>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<\/section>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<\/div>\n<\/section>\n<h2>Bringing It Together: Homework<\/h2>\n<p>130.<\/p>\n<ol id=\"fs-idm248592976\" type=\"a\">\n<li>Explain why a goodness-of-fit test and a test of independence are generally right-tailed tests.<\/li>\n<li>If you did a left-tailed test, what would you be testing?<\/li>\n<\/ol>\n\n\t\t\t <section class=\"citations-section\" role=\"contentinfo\">\n\t\t\t <h3>Candela Citations<\/h3>\n\t\t\t\t\t <div>\n\t\t\t\t\t\t <div id=\"citation-list-301\">\n\t\t\t\t\t\t\t <div class=\"licensing\"><div class=\"license-attribution-dropdown-subheading\">CC licensed content, Shared previously<\/div><ul class=\"citation-list\"><li>Introductory Statistics. <strong>Authored by<\/strong>: Barbara Illowsky, Susan Dean. <strong>Provided by<\/strong>: OpenStax. <strong>Located at<\/strong>: <a target=\"_blank\" href=\"https:\/\/openstax.org\/books\/introductory-statistics\/pages\/1-introduction\">https:\/\/openstax.org\/books\/introductory-statistics\/pages\/1-introduction<\/a>. <strong>License<\/strong>: <em><a target=\"_blank\" rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">CC BY: Attribution<\/a><\/em>. <strong>License Terms<\/strong>: Access for free at https:\/\/openstax.org\/books\/introductory-statistics\/pages\/1-introduction<\/li><\/ul><\/div>\n\t\t\t\t\t\t <\/div>\n\t\t\t\t\t <\/div>\n\t\t\t <\/section>","protected":false},"author":169134,"menu_order":25,"template":"","meta":{"_candela_citation":"[{\"type\":\"cc\",\"description\":\"Introductory Statistics\",\"author\":\"Barbara Illowsky, Susan Dean\",\"organization\":\"OpenStax\",\"url\":\"https:\/\/openstax.org\/books\/introductory-statistics\/pages\/1-introduction\",\"project\":\"\",\"license\":\"cc-by\",\"license_terms\":\"Access for free at https:\/\/openstax.org\/books\/introductory-statistics\/pages\/1-introduction\"}]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-301","chapter","type-chapter","status-publish","hentry"],"part":293,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/pressbooks\/v2\/chapters\/301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/wp\/v2\/users\/169134"}],"version-history":[{"count":6,"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/pressbooks\/v2\/chapters\/301\/revisions"}],"predecessor-version":[{"id":3954,"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/pressbooks\/v2\/chapters\/301\/revisions\/3954"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/pressbooks\/v2\/parts\/293"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/pressbooks\/v2\/chapters\/301\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/wp\/v2\/media?parent=301"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/pressbooks\/v2\/chapter-type?post=301"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/wp\/v2\/contributor?post=301"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/wp-json\/wp\/v2\/license?post=301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}