(among data miners) that there is a correlation between men buying diapers and buying beer while shopping. A student tests this theory by surveying 131 male shoppers as they left a grocery store. The results are summarized in the contingency table. Test for a dependent relationship between buying beer and buying diapers. Conduct this test at the 0.01 significance level.     Bought Diapers Did Not Buy Diapers Totals Beer 8 49 57 No Beer 10 64 74 Totals 18 113

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There is a popular story (among data miners) that there is a correlation between men buying diapers and buying beer while shopping. A student tests this theory by surveying 131 male shoppers as they left a grocery store. The results are summarized in the contingency table. Test for a dependent relationship between buying beer and buying diapers. Conduct this test at the 0.01 significance level.

 

  Bought Diapers Did Not Buy Diapers Totals
Beer 8 49 57
No Beer 10 64 74
Totals 18 113 131

(a) Find the expected frequencies.

  Bought Diapers Did Not Buy Diapers
Beer    
No Beer    

(b) Find the test statistic.

(c) Find the critical value.

 

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