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 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?                 Gender of Interviewer         Man Woman     Women who agree   546 326     Women who disagree   354 74       Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below.   A. H0​: 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.   B. H0​: The proportions of​ agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1​: The proportions are the same.   C. H0​: The proportions of​ agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. H1​: The proportions are different.   Compute the test statistic.   nothing ​(Round to three decimal places as​ needed.) Find the critical​ value(s).   nothing ​(Round to three decimal places as needed. Use a comma to separate answers as​ needed.) What is the conclusion based on the hypothesis​ test?   ▼   Reject Fail to reject    H0. There ▼   is is not sufficient evidence to warrant rejection of the claim that the proportions of​ agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. It ▼   appears does not appear that the gender of the interviewer affected the responses of women.

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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
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?
 
 
 
 
 
 
 
 
Gender of Interviewer
 
 
 
 
Man
Woman
 
 
Women who agree
 
546
326
 
 
Women who disagree
 
354
74
 
 
 
Click here to view the chi-square distribution table.
LOADING...
Identify the null and alternative hypotheses. Choose the correct answer below.
 
A.
H0​:
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.
 
B.
H0​:
The proportions of​ agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women.
H1​:
The proportions are the same.
 
C.
H0​:
The proportions of​ agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women.
H1​:
The proportions are different.
 
Compute the test statistic.
 
nothing
​(Round to three decimal places as​ needed.)
Find the critical​ value(s).
 
nothing
​(Round to three decimal places as needed. Use a comma to separate answers as​ needed.)
What is the conclusion based on the hypothesis​ test?
 
 
Reject
Fail to reject
  
H0.
There
 
is
is not
sufficient evidence to warrant rejection of the claim that the proportions of​ agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. It
 
appears
does not appear
that the gender of the interviewer affected the responses of women.
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