Confidence interval and the hypothesis test


Discussion:

Q. Ten infants are involved in a study to compare the effectiveness of two medications for the treatment of diaper rash. For each baby, two areas of approximately the same size and rash severity were selected and one area was treated with medication A and the other with medication B. The number of hours for the rash to disappear was recorded for each medication and each infant. The times appear below. The goal of the study is to determine whether there is enough evidence to conclude that a significant difference exists in the average time required to eliminate the rash using both hypothesis testing and a confidence interval.

A 46 50 46 51 43 45 47 48 46 48
B 43 49 48 47 40 40 47 48 46 48

1. What are the null and alternate hypotheses for this test? Why?

2. What is the critical value for this hypothesis test using a 1% significance level?

3. Calculate the test statistic and the p-value using a 1% significance level.

4. State the decision for this test.

5. Determine the confidence interval level that would be associated with this hypothesis test at the 1% significance level. Explain why the confidence interval level is appropriate for this hypothesis test at the 1% significance level.

6. Create a confidence interval at the confidence level associated with the hypothesis test above.

7. Interpret this confidence interval.

8. Is there sufficient evidence to conclude that a difference exists in the average time required to eliminate the rash at the 1% significance level? Explain this using the results from both the confidence interval and the hypothesis test.

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Basic Statistics: Confidence interval and the hypothesis test
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