Comparer des méthodes

	Corrélation de rang Tau de Kendall	Corrélation de Pearson par le produit des moments
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1938	1895
Auteur d'origine	Maurice G. Kendall	Karl Pearson
Type	Nonparametric rank correlation	Parametric correlation
Source fondatrice	Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.
Alias	Kendall tau, Kendall rank correlation, tau-b, tau-c	pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi
Apparentées	4	4
Résumé	Kendall's tau is a nonparametric measure of the ordinal association between two variables. It quantifies how consistently the relative ordering of one variable matches the ordering of another across all observation pairs, making it robust to outliers and suitable for ordinal or non-normally distributed data.	The Pearson product-moment correlation coefficient (r) is a parametric measure of the direction and strength of the linear association between two continuous variables. Introduced by Karl Pearson in 1895, it remains the most widely used bivariate correlation statistic in the social, health, and natural sciences. The coefficient ranges from −1 (perfect negative linear relationship) to +1 (perfect positive), with 0 indicating no linear association.