Krahasoni metodat

	Testinji Chi-Square Bayesian	Testi i Pavarësisë Chi-katror
Fusha	Statistikë	Statistikë
Familja	Hypothesis test	Hypothesis test
Viti i origjinës	1967	1900
Krijuesi	I. J. Good; extended by Gunel, Dickey, and Wagenmakers et al.	Karl Pearson
Lloji	Bayesian nonparametric association test	Nonparametric test of association
Burimi themelues	Good, I. J. (1967). A Bayesian significance test for multinomial distributions. Journal of the Royal Statistical Society: Series B (Methodological), 29(3), 399–418.	Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175.
Emërtime të tjera	Bayesian contingency table test, Bayes factor chi-square, Bayesian goodness-of-fit test, Bayesian association test	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi
Të lidhura	3	2
Përmbledhja	The Bayesian chi-square test evaluates independence or goodness-of-fit in frequency tables using Bayes factors rather than classical p-values. It quantifies evidence for or against an association between categorical variables, updating prior beliefs with observed counts and delivering an odds-like ratio that distinguishes 'no evidence' from 'evidence of no effect'.	The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900.