Set 1:
1. Given the mean equals to 33.1, and s = 1.56, compute the 99 percent and 90 percent confidence intervals for sample size n = 121.
2. Use one example to explain the differences between Type I error and Type II error and their relationship to the power of a statistical test
Set 2:
You wish to compare the short-term effects between two new sleep-aid drugs. You try the two drugs in a sample of eight subjects with five days between the two tests. The following data gives the number of hours during the night under each drug.
|
Subject
|
Drug A
|
Drug B
|
|
1
|
6
|
5
|
|
2
|
5
|
6
|
|
3
|
6
|
6
|
|
4
|
7
|
7
|
|
5
|
8
|
6
|
|
6
|
4
|
5
|
|
7
|
5
|
7
|
|
8
|
6
|
6
|
1. If you want to know if the two drugs have similar or different effects, what is the appropriate analysis?
A. An independent-samples T-test
B. A paired-samples T-test
2. Run the appropriate analysis using α = .05 and report your results.