The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 900 men and 400 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? O 592 Women who agree Women who disagree 308 Click here to view the chi-square distribution table, Gender of Interviewer Woman Man 328 72 H₁: The proportions are the same. OC. Ho: The response of the subject and the gender of the subject are independent. H₁: The response of the subject and the gender of the subject are dependent. Compute the test statistic. 1 CETT

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