Compara mètodes

	Test z per a dues proporcions	Test dels signes
Camp	Estadística	Estadística
Família	Hypothesis test	Hypothesis test
Any d'origen	1900	1946
Autor original	Karl Pearson / classical large-sample z approximation	W. J. Dixon & A. M. Mood
Tipus	Parametric proportion comparison	Nonparametric median test
Font seminal	Fleiss, J. L., Levin, B., & Paik, M. C. (2003). Statistical Methods for Rates and Proportions (3rd ed.). Wiley.	Dixon, W. J. & Mood, A. M. (1946). The statistical sign test. Journal of the American Statistical Association, 41(236), 557–566.
Àlies	z-test for proportions, two-sample proportion test, one-proportion z-test, Oran Testi — z Testi (Oranlar)	İşaret Testi (Sign Test), one-sample sign test, paired sign test
Relacionats	4	4
Resum	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 sign test is the simplest nonparametric hypothesis test for deciding whether the median of paired differences — or of a single sample — differs significantly from a hypothesised value. Formalised by W. J. Dixon and A. M. Mood in 1946, it imposes virtually no distributional assumptions and can be applied to any data where individual differences can be classified as positive or negative.