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	Analiza bayesowska tablic kontyngencji	Analiza krzyżowa
Dziedzina	Statystyka	Statystyka
Rodzina	Hypothesis test	Hypothesis test
Rok powstania	1974	1900
Twórca	Gunel & Dickey	Karl Pearson
Typ	Bayesian association test	Descriptive and inferential categorical analysis
Źródło pierwotne	Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557.	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.
Inne nazwy	Bayesian chi-square test, Bayesian contingency table test, Bayes factor association test, Bayesian crosstab analysis	crosstab, contingency table analysis, two-way frequency table, bivariate frequency analysis
Pokrewne	4	5
Podsumowanie	Bayesian cross-tabulation analysis tests whether two categorical variables are associated by computing a Bayes factor that quantifies the evidence for an association model against an independence model. Unlike classical chi-square testing, it provides a continuous measure of evidence, supports the null hypothesis directly, and updates naturally with prior knowledge about the cell probabilities.	Cross-tabulation analysis (contingency table analysis) is a foundational descriptive and inferential technique for examining the relationship between two or more categorical variables. It arranges observed frequencies into a table of rows and columns, enabling visual inspection of patterns and formal chi-square testing of independence between the variables.