Suppose that a random sample of
100
men between the ages of 25 and 54 was selected and it was found that
80
were currently working. A similar sample of
100
women was selected and
70
were working. Complete parts a and b below.
a. Using
α=0.05,
can it be concluded that the proportion of men in this age group who are working differs from the proportion of women who are working?
Determine the null and alternative hypotheses. Choose the correct answer below.
A.
H0:
pM=pW
H1:
pM≠pWYour answer is correct.
B.
H0:
pM<pW
H1:
pM>pW
C.
H0:
pM=pW
H1:
pM>pW
D.
H0:
pM≠pW
H1:
pM=pW
E.
H0:
pM=pW
H1:
pM<pW
F.
H0:
pM>pW
H1:
pM<pW
What is the test statistic?
χ2=nothing
(Round to two decimal places as needed.)
Ans. Let proportion of men currently working, pm = 80/100 = 0.8
and proportion of women currently working, pw = 70/100 = 0.7
Sample size, n = 100
Average proportion, p = (80+70)/(100+100) = 0.75
pW and pM are corresponding population proportions.
Hypothesis,
H0: pM=pW, against
H1: pM≠pW (two tailed test)
=> z statistic = [pm-pw]/[(p(1-p)*(2/n)]^0.5 = 1.6329
At 5% level of significance, z critical = 1.96
Thus, zstatistic < zcritical, so, we fail to reject the null
hypothesis.
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