Confidence intervals for the true standard deviation can be constructed using the chi-square distribution.
if the original population of data is normally distributed, then the expression "\\dfrac{s^2(n-1)}{\\sigma^2}" has a chi-square distribution with "n-1" degrees of freedom.
The 100(1−α)% confidence intervals
Two-sided "(1-\\alpha)\\%" confidence interval for "\\sigma" is
The sample must be taken from a normally distributed population.
If "\\alpha=0.05, n=50"
"\\chi^2_{L}=\\chi^2_{1-\\alpha\/2,n-1}=32.3574"
"\\chi^2_{R}=\\chi^2_{\\alpha\/2,n-1}=71.4202"
Given "s=100"
Two-sided "95\\%" confidence interval for "\\sigma" is
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