sample mean is x=(1/n)"\\sum X_i" =52.08/15=3.472
The sample variance is given as,
s2=(1/(n-1))"\\sum (X_i-x)^2=0.000966\/14=0.000069"
confidence level, 1-"\\alpha" =99%=0.99
degrees of freedom
df=14
"\\chi^2=" 4.66
A 99% upper confidence bound for the variance is found as follows:
"\\sigma^2<(n-1)s^2\/\\chi^2,"
"\\sigma^2<(14)0.000069\/4.66;\\sigma^2<0.0002073;" "\\sigma<0.0144"
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