To estimate the mean number of hours of continuous use until a certain kind of a computer will first require repairs, a certain number X of computers will be timed (in hours). If it can be assumed that the mean time to repair is normally distributed with std deviation=48 hours, what number X observations (in integer) would be needed to estimate the mean hours to repair with 90% confidence that the sample mean is off by at most 24 hours?

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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To estimate the mean number of hours of continuous use until a certain
kind of a computer will first require repairs, a certain number X of
computers will be timed (in hours). If it can be assumed that the mean
time to repair is normally distributed with std deviation=48 hours, what
number X observations (in integer) would be needed to estimate the mean
hours to repair with 90% confidence that the sample mean is off by at
most 24 hours?
Transcribed Image Text:To estimate the mean number of hours of continuous use until a certain kind of a computer will first require repairs, a certain number X of computers will be timed (in hours). If it can be assumed that the mean time to repair is normally distributed with std deviation=48 hours, what number X observations (in integer) would be needed to estimate the mean hours to repair with 90% confidence that the sample mean is off by at most 24 hours?
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