According to the National Association of Colleges and Employers Spring 2019 Salary Survey, the average starting salary for 2018 college graduates was $ 50,004. Suppose that the mean starting salary of all 2018 college graduates was $50, 004 with a standard deviation of $9200, and that this distribution was strongly skewed to the right. Let & be the mean starting salary of 25 randomly selected 2018 college graduates. Find the mean and the standard deviation of the sampling distribution of &. What are the mean and the standard deviation of the sampling distribution of & if the sample size is 100? How do the shapes of the sampling distributions differ for the two sample sizes?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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According to the National Association of Colleges and
Employers Spring 2019 Salary Survey, the average
starting salary for 2018 college graduates was $
50,004. Suppose that the mean starting salary of all
2018 college graduates was $50,004 with a standard
deviation of $9200, and that this distribution was
strongly skewed to the right. Let & be the mean starting
salary of 25 randomly selected 2018 college graduates.
Find the mean and the standard deviation of the
sampling distribution of &. What are the mean and the
standard deviation of the sampling distribution of & if
the sample size is 100? How do the shapes of the
sampling distributions differ for the two sample sizes?
Transcribed Image Text:According to the National Association of Colleges and Employers Spring 2019 Salary Survey, the average starting salary for 2018 college graduates was $ 50,004. Suppose that the mean starting salary of all 2018 college graduates was $50,004 with a standard deviation of $9200, and that this distribution was strongly skewed to the right. Let & be the mean starting salary of 25 randomly selected 2018 college graduates. Find the mean and the standard deviation of the sampling distribution of &. What are the mean and the standard deviation of the sampling distribution of & if the sample size is 100? How do the shapes of the sampling distributions differ for the two sample sizes?
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