Сравнение методов

	Хи-квадрат тест независимости	V-крамера
Область	Статистика	Статистика
Семейство	Hypothesis test	Hypothesis test
Год появления	1900	1946
Автор метода	Karl Pearson	Harald Cramér
Тип	Nonparametric test of association	Nonparametric association measure
Основополагающий источник	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.	Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press. ISBN: 978-0691080420
Другие названия	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi	cramers v, cramer v, phi coefficient (r×c), Cramer's V (İlişki Kuvveti)
Связанные	2	3
Сводка	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.	Cramer's V is a nonparametric effect-size statistic that measures the strength of association between two categorical variables on a scale from 0 to 1. Introduced by the Swedish mathematician Harald Cramér in his 1946 work Mathematical Methods of Statistics, it generalises the phi coefficient to tables of any size, making it the standard companion statistic to the chi-square test.