A sample of 104 observations indicated that
X1 is 80. A second sample of 141 observations
indicated that X2 is 106. Conduct
a z-test of hypothesis about a difference in population
proportions using a 0.01 significance level.
H0:
p1 - p2 = 0
H1: p1 -
p2 ≠ 0
a)State the decision
rule.Reject H0 in favour
of H1 if the computed value of the
statistic is between -2.58 and
2.58.Reject H0 in favour
of H1 if the computed value of the
statistic is less than
2.58.Reject H0 in favour
of H1 if the computed value of the
statistic is greater than
2.58.Reject H0 in favour
of H1 if the computed value of the
statistic is less than -2.33 or greater than
2.33.Reject H0 in favour
of H1 if the computed value of the
statistic is between -2.33 and
2.33.Reject H0 in favour
of H1 if the computed value of the
statistic is less than -2.58 or greater than 2.58.None of the
above.
b) Compute the pooled proportion.
For full marks your answer should be accurate to at least four
decimal places.
Pooled proportion:
c) What is the value of the test
statistic?
For full marks your answer should be accurate to at least three
decimal places.
Test statistic:
d)What is your decision regarding H0?There is sufficient evidence, at the given significance level, to reject H0, and accept H1 or at least there is not enough evidence to reject H1.There is insufficient evidence, at the given significance level, to reject H0.There is insufficient evidence to reject or not reject the null hypothesis.
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