{"id":4906,"date":"2022-08-16T19:30:29","date_gmt":"2022-08-16T19:30:29","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=4906"},"modified":"2022-08-16T20:03:00","modified_gmt":"2022-08-16T20:03:00","slug":"13b-coreq","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/13b-coreq\/","title":{"raw":"13B Coreq","rendered":"13B Coreq"},"content":{"raw":"In the next preview assignment and in the next class, you will need to know the steps\u00a0 for hypothesis testing to be able to apply them to a one-sample hypothesis test for\u00a0 means (one-sample t-test).\r\n

Hypothesis Testing about Weekly Work Hours\u00a0<\/strong><\/p>\r\nGo to the DCMP Inference for a Population Mean tool at\u00a0https:\/\/dcmathpathways.shinyapps.io\/Inference_mean\/ and select the textbook dataset\u00a0 \u201cWeekly Work Hours (Males, 2012).\u201d\r\n

\r\n

Question 1<\/h3>\r\n1) Using the dataset \u201cWeekly Work Hours (Males, 2012)\u201d as context, what would be the null and alternative hypotheses used to answer the following question:\r\n\r\n\u201cIs there a difference in the average weekly work hours for males in 2012 from the\u00a0 sample data and the claim of males working an average of 44 hours per week?\u201d\r\n\r\n<\/div>\r\n
\r\n

Question 2<\/h3>\r\n2) The next step in hypothesis testing, after stating the null and alternative hypotheses, is to collect sample data. What does the variable Weekly Work Hours (Males, 2012) in the data represent?\r\n\r\na) The sample data\r\n\r\nb) The population data\r\n\r\nc) The data for a single working male\r\n\r\n<\/div>\r\n
\r\n

Question 3<\/h3>\r\n3) After collecting data from a sample of working males, we need to check the test\u00a0 conditions to make sure our data are appropriate for the test. Are the\u00a0 assumptions\/conditions for a one-sample hypothesis test for means met? Explain.\r\n\r\n<\/div>\r\n
\r\n

Question 4<\/h3>\r\n4) After checking test assumptions, the next step is to calculate the value of the test\u00a0 statistic. What data do we use to calculate the test statistic?\r\n\r\n<\/div>\r\n
\r\n

Question 5<\/h3>\r\n5) After calculating the value of a test statistic, the next step is to calculate a P-value.\u00a0 What do you do when you have a small P-value that is less than the selected\u00a0 significance level?\r\n\r\n<\/div>\r\n
\r\n

Question 6<\/h3>\r\n6) What do you do when you have a P-value that is larger than the selected\u00a0 significance level?\r\n\r\n<\/div>\r\n
\r\n

Question 7<\/h3>\r\n7) The last step in a hypothesis test is to interpret the results. What do we want to\u00a0 make sure that we do in this last step?\r\n\r\n<\/div>","rendered":"

In the next preview assignment and in the next class, you will need to know the steps\u00a0 for hypothesis testing to be able to apply them to a one-sample hypothesis test for\u00a0 means (one-sample t-test).<\/p>\n

Hypothesis Testing about Weekly Work Hours\u00a0<\/strong><\/p>\n

Go to the DCMP Inference for a Population Mean tool at\u00a0https:\/\/dcmathpathways.shinyapps.io\/Inference_mean\/ and select the textbook dataset\u00a0 \u201cWeekly Work Hours (Males, 2012).\u201d<\/p>\n

\n

Question 1<\/h3>\n

1) Using the dataset \u201cWeekly Work Hours (Males, 2012)\u201d as context, what would be the null and alternative hypotheses used to answer the following question:<\/p>\n

\u201cIs there a difference in the average weekly work hours for males in 2012 from the\u00a0 sample data and the claim of males working an average of 44 hours per week?\u201d<\/p>\n<\/div>\n

\n

Question 2<\/h3>\n

2) The next step in hypothesis testing, after stating the null and alternative hypotheses, is to collect sample data. What does the variable Weekly Work Hours (Males, 2012) in the data represent?<\/p>\n

a) The sample data<\/p>\n

b) The population data<\/p>\n

c) The data for a single working male<\/p>\n<\/div>\n

\n

Question 3<\/h3>\n

3) After collecting data from a sample of working males, we need to check the test\u00a0 conditions to make sure our data are appropriate for the test. Are the\u00a0 assumptions\/conditions for a one-sample hypothesis test for means met? Explain.<\/p>\n<\/div>\n

\n

Question 4<\/h3>\n

4) After checking test assumptions, the next step is to calculate the value of the test\u00a0 statistic. What data do we use to calculate the test statistic?<\/p>\n<\/div>\n

\n

Question 5<\/h3>\n

5) After calculating the value of a test statistic, the next step is to calculate a P-value.\u00a0 What do you do when you have a small P-value that is less than the selected\u00a0 significance level?<\/p>\n<\/div>\n

\n

Question 6<\/h3>\n

6) What do you do when you have a P-value that is larger than the selected\u00a0 significance level?<\/p>\n<\/div>\n

\n

Question 7<\/h3>\n

7) The last step in a hypothesis test is to interpret the results. What do we want to\u00a0 make sure that we do in this last step?<\/p>\n<\/div>\n","protected":false},"author":23592,"menu_order":4,"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-4906","chapter","type-chapter","status-publish","hentry"],"part":4875,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4906","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\/4906\/revisions"}],"predecessor-version":[{"id":4914,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4906\/revisions\/4914"}],"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\/4906\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=4906"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=4906"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=4906"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=4906"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}