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 chi-square statistic for the test turns out to be 6.172.If the significance level is set at 5%, what should you conclude?
A)The two factors are related.
B)Priority and shopping frequency are not 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 chi-square statistic for the test turns out to be 6.172.If the significance level is set at 5%, what should you conclude?
A)The two factors are related. 
B)Priority and shopping frequency are not 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 chi-square statistic for the test turns out to be 6.172.If the significance level is set at 5%, what should you conclude?
A)The two factors are related. 
B)Priority and shopping frequency are not 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