Solution) In a sample 80 workers from a factory in city A, it was found that 5% were unable to read, while in
Question: In a sample 80 workers from a factory in city A, it was found that 5% were unable to read, while in a sample of 50 workers in city B, 8% were unable to read. Can it be concluded that there is a difference in the proportions of nonreaders in the two cities? Use a = 0.10. Find the 90% confidence interval for the difference of the two proportions.
Solution: (a) We want to test the following null and alternative hypotheses:
![](/images/downloads-images/question-022619_files/image002.png)
We need to use a z-test for proportions. The level of significance is set at. From the information provided, we have that
![](/images/downloads-images/question-022619_files/image006.png)
![](/images/downloads-images/question-022619_files/image008.png)
and also, the pooled proportion is
![](/images/downloads-images/question-022619_files/image010.png)
With this information, the z-statistics is computed as
![](/images/downloads-images/question-022619_files/image012.png)
The critical value for for this test is
. The rejection region is given by
![](/images/downloads-images/question-022619_files/image017.png)
Since, then we fail to reject the null hypothesis H0.
Hence, we don't have enough evidence to support the claim that there is a difference in the proportions of nonreaders in the two cities.
(b) The 90% confidence interval for is computed as
![](/images/downloads-images/question-022619_files/image023.png)
Based on the information provided, we get that
![](/images/downloads-images/question-022619_files/image025.png)
![](/images/downloads-images/question-022619_files/image027.png)
The confidence interval is given by:
![](/images/downloads-images/question-022619_files/image029.png)
![](/images/downloads-images/question-022619_files/image031.png)
This means we are 90% confident that the interval contains the actual value of
.
Deliverable: Word Document
![](/images/msword.png)