The table below summarizes data from a survey of a sample of women. Using a
0.01 significance level, and assuming that the sample sizes of
900 men and
300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women?
what is the test static?
what is the critical value?
what is th P-value?
Gender of Interviewer
Man
Woman
Women who agree
572
243
Women who disagree
328
57
Chi-square
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