In a consumer survey designed to assess the priorities of online shoppers, 2000 online shoppers were randomly selected and asked to identify what is most important to them when buying a product online.Respondents to the survey were classified by online shopping frequency as either "frequent online shoppers" or "occasional online shoppers." Results of the study are used to fill in a table like the one below.Based on the results, you use chi-square analysis to test the null hypothesis that shopper priority is independent of online shopping frequency. Suppose the p-value for the test turns out to be .0822.If the significance level is set at 5%, what should you conclude?
A)The two factors are related.
B)There is strong evidence that priority and shopping frequency are independent factors.
C)Can't reject the "independence" null hypothesis.
D)Reject the "independence" null hypothesis.

Question

In a consumer survey designed to assess the priorities of online shoppers, 2000 online shoppers were randomly selected and asked to identify what is most important to them when buying a product online.Respondents to the survey were classified by online shopping frequency as either "frequent online shoppers" or "occasional online shoppers." Results of the study are used to fill in a table like the one below.Based on the results, you use chi-square analysis to test the null hypothesis that shopper priority is independent of online shopping frequency.  Suppose the p-value for the test turns out to be .0822.If the significance level is set at 5%, what should you conclude?
A)The two factors are related. 
B)There is strong evidence that priority and shopping frequency are independent factors. 
C)Can't reject the "independence" null hypothesis. 
D)Reject the "independence" null hypothesis.

Quizplus · Accepted Answer

The Answer of In a consumer survey designed to assess the priorities of online shoppers, 2000 online shoppers were randomly selected and asked to identify what is most important to them when buying a product online.Respondents to the survey were classified by online shopping frequency as either "frequent online shoppers" or "occasional online shoppers." Results of the study are used to fill in a table like the one below.Based on the results, you use chi-square analysis to test the null hypothesis that shopper priority is independent of online shopping frequency.  Suppose the p-value for the test turns out to be .0822.If the significance level is set at 5%, what should you conclude?
A)The two factors are related. 
B)There is strong evidence that priority and shopping frequency are independent factors. 
C)Can't reject the "independence" null hypothesis. 
D)Reject the "independence" null hypothesis.

In a Consumer Survey Designed to Assess the Priorities of Online