(a)
H0: Null Hypothesis: P1 = P2
HA: Alternative Hypothesis: P1 P2
n1 = 381
p1 = 191/381 = 0.5013
n2 =166
p2 = 145/166 =0.8735
Q = 1 - P = 0.3857
Test statistic is:
Z = (0.5013 - 0.8735)/0.0452 = - 8.2345
= 0.05
From Table, critical values of Z = 1.96
Since calculated value of Z = - 8.2345 is less than critical value of Z = - 1.96, the difference is significant. Reject null hypothesis.
Conclusion:
The data do not support the claim that the two population proportions are equal.
(b)
Confidence interval:
(0.5013 - 0.8735) (1.96 X 0.0452)
= - 0.3722 0.0886
= (- 0.4608 , - 0.2836)
So,
Confidence Interval:
- 0.4608 < P1 - P2< - 0.2836
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