The table below summarizes data from a survey of a sample ofwomen. Using a

0.010.01

significance​ level, and assuming that the sample sizes of

800800

men and

400400

women are​ predetermined, test the claim that the proportionsof​ agree/disagree responses are the same for subjects interviewedby men and the subjects interviewed by women. Does it appear thatthe gender of the interviewer affected the responses of​ women?

		Gender of Interviewer
		Man	Woman
Women who agree		489489	329329
Women who disagree		311311	7171

Click here to view the chi-square distribution table.

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Identify the null and alternative hypotheses. Choose the correctanswer below.

A.

Upper H 0H0​:

The response of the subject and the gender of the subject areindependent.

Upper H 1H1​:

The response of the subject and the gender of the subject aredependent.

B.

Upper H 0H0​:

The proportions of​ agree/disagree responses are the same forthe subjects interviewed by men and the subjects interviewed bywomen.

Upper H 1H1​:

The proportions are different.

C.

Upper H 0H0​:

The proportions of​ agree/disagree responses are different forthe subjects interviewed by men and the subjects interviewed bywomen.

Upper H 1H1​:

The proportions are the same.

2. what is the test statistic?

3. what is the critical value x squared?

4 fail to reject or reject and why?