3. The production manager of a large manufacturing company estimates that the mean age of is employees is 22.8 years. The treasurer of the firm needs a more accurate employee mean age figure in order to estimate the cost of an annuity benefit program being considered for employees. The treasurer takes a random sample of 70 workers and finds out that the mean age of the employees sampled is 26.2 years with a standard deviation of 4.6. At 0.01 level of significance, what can the treasurer conclude about the accuracy of the production manager's estimate?
3. The production manager of a large manufacturing company estimates that the mean age of is employees is 22.8 years. The treasurer of the firm needs a more accurate employee mean age figure in order to estimate the cost of an annuity benefit program being considered for employees. The treasurer takes a random sample of 70 workers and finds out that the mean age of the employees sampled is 26.2 years with a standard deviation of 4.6. At 0.01 level of significance, what can the treasurer conclude about the accuracy of the production manager's estimate?
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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Transcribed Image Text:3. The production manager of a large manufacturing company estimates that the mean age of is
employees is 22.8 years. The treasurer of the firm needs a more accurate employee mean age figure
in order to estimate the cost of an annuity benefit program being considered for employees. The
treasurer takes a random sample of 70 workers and finds out that the mean age of the employees
sampled is 26.2 years with a standard deviation of 4.6. At 0.01 level of significance, what can the
treasurer conclude about the accuracy of the production manager's estimate?
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