Salīdzināt metodes

	Divu proporciju z-tests	Neatkarīgo paraugu t-tests
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1900	1908
Autors	Karl Pearson / classical large-sample z approximation	Student (W. S. Gosset)
Tips	Parametric proportion comparison	Parametric mean comparison
Pirmavots	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.
Citi nosaukumi	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
Saistītās	4	4
Kopsavilkums	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.