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_i-x)^2" =0.000966/14=0.000069
confidence level, α =90%=0.90
degrees of freedom
df=14
χ2= 7.79
A 90% upper confidence bound for the variance is found as follows:
"\\sigma^2<(n-1)s^2\/\\chi^2"
"\\sigma^2<(14)0.000069\/7.79;\\sigma^2<0.000124005135"
σ<0.0111357593
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