Salīdzināt metodes

	Precīzais binomiālais tests	Hipotēzes neatkarības $\chi^2$ tests
Nozare	Statistika	Statistika
Saime	Regression model	Hypothesis test
Izcelsmes gads	1988	1900
Autors	Classical exact test; textbook treatment by Siegel & Castellan	Karl Pearson
Tips	Exact one-sample test for a proportion	Nonparametric test of association
Pirmavots	Siegel, S. & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences (2nd ed.). McGraw-Hill. ISBN: 978-0070573574	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	exact binomial test, binomial probability test, exact test for a proportion, Tam Binom Testi	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi
Saistītās	2	2
Kopsavilkums	The exact binomial test checks whether the observed number of successes in a fixed number of independent trials is consistent with a pre-specified success probability p₀. Because it computes exact binomial tail probabilities rather than relying on a normal approximation, it is the gold standard for testing a proportion in small samples; this two-sided formulation follows Siegel & Castellan's classic treatment (1988).	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.