Salīdzināt metodes

	Koherana Q tests	Frīdmana tests
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1950	1937
Autors	William G. Cochran	Milton Friedman
Tips	Nonparametric proportions comparison	Nonparametric repeated-measures comparison (by ranks)
Pirmavots	Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266.	Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701.
Citi nosaukumi	Cochran Q Testi, Cochran's Q, Q test for related proportions	Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman 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 Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality.