In: Statistics and Probability
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?
Man Woman
Women who agree 605 322
Women who disagree 295 78
Identify the null and alternative hypotheses. Choose the correct answer below.
A.
Upper H 0H0:
The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women.
Upper H 1H1:
The proportions are different.
B.
Upper H 0H0:
The response of the subject and the gender of the subject are independent.
Upper H 1H1:
The response of the subject and the gender of the subject are dependent.
C.
Upper H 0H0:
The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women.
Upper H 1H1:
The proportions are the same.
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
Upper H 0H0.
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
▼
does not appear
appears
that the gender of the interviewer affected the responses of women.
Click to select your answer(s).
(a)
Correct option:
A. H0: The proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women.
H1: The proportions are different
(b)
Observed Frequencies:
Men | Women | Total | |
Women who agree | 605 | 322 | 927 |
Women who disagree | 295 | 78 | 373 |
Total | 900 | 400 | 1300 |
Expected Frequencies:
Men | Women | Total | |
Women who agree | 900X927/133=641.7692 | 400X927/1300=285.2308 | 927 |
Women who disagree | 900X373/1300=258.2308 | 400X373/1300=114.7692 | 373 |
Total | 900 | 400 | 1300 |
Test Statistic is got as follows:
Observed (O) | Expected (E) | (O - E)2/E |
605 | 641.7692 | 2.1066 |
322 | 285.2308 | 4.7399 |
295 | 258.2308 | 5.2355 |
78 | 114.7692 | 11.7799 |
Total = = | 23.862 |
Test statistic is:23.862
(c)
= 0.05
ndf = (r - 1) X (c - 1)
= ( 2 - 1) X (2 - 1)
= 1
From Table, critical value of = 3.842
(d)
Correct option:
Reject H0
(e)
There is sufficient evidence to 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.
(f)
It appears that gender of the interviewer affected the responses of women.