Salīdzināt metodes

	Koherana Q tests	Hipotēzes neatkarības $\chi^2$ tests
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1950	1900
Autors	William G. Cochran	Karl Pearson
Tips	Nonparametric proportions comparison	Nonparametric test of association
Pirmavots	Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266.	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.
Citi nosaukumi	Cochran Q Testi, Cochran's Q, Q test for related proportions	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi
Saistītās	4	2
Kopsavilkums	Cochran's Q test is a nonparametric hypothesis test introduced by William G. Cochran in 1950 for comparing proportions across three or more related binary measurements. It extends McNemar's test to the multiple-condition case and is the method of choice when every participant is observed under each condition and the outcome is recorded as a simple success/failure (1/0).	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.