In: Economics
A sample of 120 observations indicated that X1 is 77.
A second sample of 153 observations...
A sample of 120 observations indicated that X1 is 77.
A second sample of 153 observations indicated that X2 is
89. Conduct a z-test of hypothesis about a difference in
population proportions using a 0.05 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 -1.96 and 1.96. |
|
Reject H0 in
favour of H1 if the computed value of the
statistic is less than 1.96. |
|
Reject H0 in
favour of H1 if the computed value of the
statistic is greater than 1.96. |
|
Reject H0 in
favour of H1 if the computed value of the
statistic is less than -1.64 or greater than 1.64. |
|
Reject H0 in
favour of H1 if the computed value of the
statistic is between -1.64 and 1.64. |
|
Reject H0 in
favour of H1 if the computed value of the
statistic is less than -1.96 or greater than 1.96. |
|
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: 0
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: 0
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. |
|