In a Consumer Survey Designed to Assess the Priorities of Online

Multiple Choice

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 .0347.If the significance level is set at 5%, what should you conclude?

A) You can't reject the "independence" null hypothesis.
B) You should reject the "independence" null hypothesis.
C) Insufficient information is given to determine whether the two factors are related.
D) Priority and shopping frequency are independent factors.