手法を比較

	クロス集計分析	独立性カイ二乗検定
分野	統計学	統計学
系統	Hypothesis test	Hypothesis test
提唱年	1900	1900
提唱者	Karl Pearson	Karl Pearson
種類	Descriptive and inferential categorical analysis	Nonparametric test of association
原典	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.	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.
別名	crosstab, contingency table analysis, two-way frequency table, bivariate frequency analysis	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi
関連	5	2
概要	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.	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.