// reference

Parametric statistics on one page

Every common distribution, hypothesis test, ANOVA variant, regression-based test, effect-size measure, and assumption check that lives under the parametric umbrella — each with its formula, when to use it, and two applications: one classical statistical, one machine-learning. Built as a quick reference you can Ctrl+F through.

Parametric ≠ "uses parameters". Parametric methods assume the data come from a distribution family specified up to a finite set of parameters (mean, variance, etc.). Non-parametric methods don't make this assumption — they pay with weaker power. This page covers the parametric side; the classical sister page would cover Mann-Whitney, Wilcoxon, Kruskal-Wallis, Spearman, etc.