Salīdzināt metodes

	Maknēmara tests	Hipotēzes neatkarības $\chi^2$ tests
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1947	1900
Autors	Quinn McNemar	Karl Pearson
Tips	Nonparametric test for paired binary data	Nonparametric test of association
Pirmavots	McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157.	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	McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi
Saistītās	5	2
Kopsavilkums	McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes.	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.