I'm studying a numerical variances $\sigma^2(x)$. For each samples I have more than one hundred of variances.
I'm looking for the distribution that can describe them. I think is not Gaussian, because $\sigma^2(x) \ge 0$.
The question is: for computing the confidence interval is better use a Rayleigh distribution, a chi-squared distribution or an other again?