Normal sample
= Normal sample
{title2=$X_i\ \text{iid}\sim N(\mu,\sigma^2)$}
A collection of independent identically distributed <normal random variables>. Orthogonal coordinates in the standardized <Gaussian vector> separate the <sample mean> from the residual sum of squares, proving their independence and giving the normal and <chi-squared distributions> used for exact inference.