Сравнение методов

	Z-критерий для двух долей	Независимый t-критерий для двух выборок
Область	Статистика	Статистика
Семейство	Hypothesis test	Hypothesis test
Год появления	1900	1908
Автор метода	Karl Pearson / classical large-sample z approximation	Student (W. S. Gosset)
Тип	Parametric proportion comparison	Parametric mean comparison
Основополагающий источник	Fleiss, J. L., Levin, B., & Paik, M. C. (2003). Statistical Methods for Rates and Proportions (3rd ed.). Wiley.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Другие названия	z-test for proportions, two-sample proportion test, one-proportion z-test, Oran Testi — z Testi (Oranlar)	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Связанные	4	4
Сводка	The proportion test (z-test for proportions) is a parametric hypothesis test that compares one or two sample proportions against a reference value or each other. Grounded in the large-sample normal approximation formalized by Fleiss, Levin, and Paik (2003), it is the standard tool for binary outcome comparisons when samples are large enough for the central limit theorem to apply.	The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.