The distribution of the number of personal time off (PTO) days per year offered by different U.S. companies is skewed to the right. The mean number of days is 10.7 1. We collect data on the number of personal time off days from a random sample of 50 New England companies. Why is it okay to use these data for inference even though the population is skewed? 2. The standard deviation of the 50 companies in our sample was 9 days. Specify the sampling model (shape, center, spread) for the mean number of PTO days of such samples 3. This sample of randomly chosen New England companies produced a 90% confidence interval of (10.07, 14.33) days. Does this interval provide evidence that number of PTO days are unusually high here in New England?
The distribution of the number of personal time off (PTO) days per year offered by different U.S. companies is skewed to the right. The mean number of days is 10.7 1. We collect data on the number of personal time off days from a random sample of 50 New England companies. Why is it okay to use these data for inference even though the population is skewed? 2. The standard deviation of the 50 companies in our sample was 9 days. Specify the sampling model (shape, center, spread) for the mean number of PTO days of such samples 3. This sample of randomly chosen New England companies produced a 90% confidence interval of (10.07, 14.33) days. Does this interval provide evidence that number of PTO days are unusually high here in New England?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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I need help reviewing this book problem. Why in this case is a skewed sample acceptable? What is the sample model's shape, center, and spread? and does the sample of new England companies provide evidence that the number of PTO days in New England are usually high?
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What about part two which refers to the sampling model's shape, center, and spread?
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