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In a Consumer Survey Designed to Assess the Priorities of Online

question 15

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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. 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 10.525.If the significance level is set at 5%, what should you conclude? A) The two factors are unrelated. B) Priority and shopping frequency are independent factors. C) Can't reject the  independence  null hypothesis. D) Reject the  independence  null hypothesis. Suppose the chi-square statistic for the test turns out to be 10.525.If the significance level is set at 5%, what should you conclude?


Definitions:

Categorization

The cognitive process of organizing information by placing it into categories based on common features or characteristics.

Group Attribution Error

The tendency to overemphasize dispositional or personality-based explanations for the behavior of individuals in a group, while underestimating the role of external factors.

Stereotyped Thinking

The practice of having oversimplified and generalized beliefs about certain groups or categories of people.

Law of Small Numbers

A cognitive bias that leads people to infer or generalize outcomes from a small sample size, mistakenly treating it as representative of a larger population.

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