{"id":4930,"date":"2022-08-16T22:00:44","date_gmt":"2022-08-16T22:00:44","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&#038;p=4930"},"modified":"2022-08-17T18:35:01","modified_gmt":"2022-08-17T18:35:01","slug":"13b-preview","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/13b-preview\/","title":{"raw":"13B Preview","rendered":"13B Preview"},"content":{"raw":"Preparing for the next class\r\n\r\nIn the next class, you will need to know all the steps needed to complete a hypothesis\u00a0 test for a population mean, which are similar to the steps for a hypothesis test for a population proportion.\r\n\r\nQuestions 1\u20138: Researchers want to examine the effect of diet on cholesterol level.\u00a0 They select a random sample of 125 adult males who are vegetarians and test their\u00a0 cholesterol levels to determine if they are significantly different from 201.5 milligrams of\u00a0 cholesterol per deciliter (mg\/dl), which is the average cholesterol level of all adult males\u00a0 without heart disease. The results are shown in the following table:\r\n<div align=\"left\">\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td><\/td>\r\n<td>Size<\/td>\r\n<td>Mean<\/td>\r\n<td>Standard Deviation<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Sample<\/td>\r\n<td>125<\/td>\r\n<td>183.4 mg\/dl<\/td>\r\n<td>15<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 1<\/h3>\r\n1) How would you write the null hypothesis?\r\n\r\na) [latex]H_{0}:\\mu&gt;201.5[\/latex]\r\n\r\nb)\u00a0[latex]H_{0}:\\mu&lt;201.5[\/latex]\r\n\r\nc)\u00a0[latex]H_{0}:\\mu=201.5[\/latex]\r\n\r\nd) [latex]H_{0}:\\mu\\neq201.5[\/latex]\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 2<\/h3>\r\n2) How would you write the alternative hypothesis?\r\n\r\na) [latex]H_{A}:\\mu&gt;201.5[\/latex]\r\n\r\nb)\u00a0[latex]H_{A}:\\mu&lt;201.5[\/latex]\r\n\r\nc)\u00a0[latex]H_{A}:\\mu=201.5[\/latex]\r\n\r\nd) [latex]H_{A}:\\mu\\neq201.5[\/latex]\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 3<\/h3>\r\n3) In this scenario, is the alternative hypothesis one-tailed or two-tailed?\r\n\r\na) One-tailed\r\n\r\nb) Two-tailed\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 4<\/h3>\r\n4) What data will be used for the hypothesis test?\r\n\r\na) Data about all U.S. men\r\n\r\nb) No data are needed.\r\n\r\nc) Sample data about cholesterol levels for a random sample of 125 men\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 5<\/h3>\r\n5) What conditions were met for this statistical test?\r\n\r\na) The sample size is large enough.\r\n\r\nb) The sample is random from the population of interest.\r\n\r\nc) Both a and c\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 6<\/h3>\r\n6) After writing the null and alternative hypotheses, collecting sample data, and checking test assumptions, what is the next step in hypothesis testing?\r\n\r\na) Calculate a P-value.\r\n\r\nb) Interpret the results of the test in context.\r\n\r\nc) Calculate the value of a test statistic.\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 7<\/h3>\r\n7) After calculating a test statistic, what is the next step in hypothesis testing?\r\n\r\na) Calculate a P-value.\r\n\r\nb) Interpret the results of the test in context.\r\n\r\nc) Calculate the value of a test statistic.\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 8<\/h3>\r\n8) What is the final step in hypothesis testing?\r\n\r\na) Calculate a P-value.\r\n\r\nb) Interpret the results of the test in context.\r\n\r\nc) Calculate the value of a test statistic.\r\n\r\n<\/div>","rendered":"<p>Preparing for the next class<\/p>\n<p>In the next class, you will need to know all the steps needed to complete a hypothesis\u00a0 test for a population mean, which are similar to the steps for a hypothesis test for a population proportion.<\/p>\n<p>Questions 1\u20138: Researchers want to examine the effect of diet on cholesterol level.\u00a0 They select a random sample of 125 adult males who are vegetarians and test their\u00a0 cholesterol levels to determine if they are significantly different from 201.5 milligrams of\u00a0 cholesterol per deciliter (mg\/dl), which is the average cholesterol level of all adult males\u00a0 without heart disease. The results are shown in the following table:<\/p>\n<div style=\"text-align: left;\">\n<table>\n<tbody>\n<tr>\n<td><\/td>\n<td>Size<\/td>\n<td>Mean<\/td>\n<td>Standard Deviation<\/td>\n<\/tr>\n<tr>\n<td>Sample<\/td>\n<td>125<\/td>\n<td>183.4 mg\/dl<\/td>\n<td>15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 1<\/h3>\n<p>1) How would you write the null hypothesis?<\/p>\n<p>a) [latex]H_{0}:\\mu>201.5[\/latex]<\/p>\n<p>b)\u00a0[latex]H_{0}:\\mu<201.5[\/latex]\n\nc)\u00a0[latex]H_{0}:\\mu=201.5[\/latex]\n\nd) [latex]H_{0}:\\mu\\neq201.5[\/latex]\n\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 2<\/h3>\n<p>2) How would you write the alternative hypothesis?<\/p>\n<p>a) [latex]H_{A}:\\mu>201.5[\/latex]<\/p>\n<p>b)\u00a0[latex]H_{A}:\\mu<201.5[\/latex]\n\nc)\u00a0[latex]H_{A}:\\mu=201.5[\/latex]\n\nd) [latex]H_{A}:\\mu\\neq201.5[\/latex]\n\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 3<\/h3>\n<p>3) In this scenario, is the alternative hypothesis one-tailed or two-tailed?<\/p>\n<p>a) One-tailed<\/p>\n<p>b) Two-tailed<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 4<\/h3>\n<p>4) What data will be used for the hypothesis test?<\/p>\n<p>a) Data about all U.S. men<\/p>\n<p>b) No data are needed.<\/p>\n<p>c) Sample data about cholesterol levels for a random sample of 125 men<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 5<\/h3>\n<p>5) What conditions were met for this statistical test?<\/p>\n<p>a) The sample size is large enough.<\/p>\n<p>b) The sample is random from the population of interest.<\/p>\n<p>c) Both a and c<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 6<\/h3>\n<p>6) After writing the null and alternative hypotheses, collecting sample data, and checking test assumptions, what is the next step in hypothesis testing?<\/p>\n<p>a) Calculate a P-value.<\/p>\n<p>b) Interpret the results of the test in context.<\/p>\n<p>c) Calculate the value of a test statistic.<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 7<\/h3>\n<p>7) After calculating a test statistic, what is the next step in hypothesis testing?<\/p>\n<p>a) Calculate a P-value.<\/p>\n<p>b) Interpret the results of the test in context.<\/p>\n<p>c) Calculate the value of a test statistic.<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 8<\/h3>\n<p>8) What is the final step in hypothesis testing?<\/p>\n<p>a) Calculate a P-value.<\/p>\n<p>b) Interpret the results of the test in context.<\/p>\n<p>c) Calculate the value of a test statistic.<\/p>\n<\/div>\n","protected":false},"author":23592,"menu_order":6,"template":"","meta":{"_candela_citation":"[]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-4930","chapter","type-chapter","status-publish","hentry"],"part":4875,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4930","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/users\/23592"}],"version-history":[{"count":4,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4930\/revisions"}],"predecessor-version":[{"id":5032,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4930\/revisions\/5032"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/parts\/4875"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4930\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=4930"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=4930"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=4930"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=4930"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}