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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
3
4
7
8
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.
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Caselet on McDonald’s vs. Burger King - Waiting time
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Estimate the population mean
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
Find out the probability
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