Methoden vergelijken

	Z-toets voor twee proporties	Onafhankelijke t-toets voor twee steekproeven
Vakgebied	Statistiek	Statistiek
Familie	Hypothesis test	Hypothesis test
Jaar van ontstaan	1900	1908
Grondlegger	Karl Pearson / classical large-sample z approximation	Student (W. S. Gosset)
Type	Parametric proportion comparison	Parametric mean comparison
Oorspronkelijke bron	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.
Aliassen	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
Verwant	4	4
Samenvatting	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.