Σύγκριση μεθόδων

	Ανάλυση Ισχύος για Ελέγχους Αναλογιών	Ακριβής Διωνυμικός Έλεγχος
Πεδίο	Στατιστική	Στατιστική
Οικογένεια	Hypothesis test	Regression model
Έτος προέλευσης	1988	1988
Δημιουργός	Jacob Cohen	Classical exact test; textbook treatment by Siegel & Castellan
Τύπος	Sample size determination	Exact one-sample test for a proportion
Θεμελιώδης πηγή	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.	Siegel, S. & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences (2nd ed.). McGraw-Hill. ISBN: 978-0070573574
Εναλλακτικές ονομασίες	proportion power analysis, two-proportion z-test power, z-test for proportions power, Oran Testi Güç Analizi	exact binomial test, binomial probability test, exact test for a proportion, Tam Binom Testi
Συναφείς	3	2
Σύνοψη	Power analysis for proportion tests is a prospective sample-size planning method used to determine how many participants are needed to detect a meaningful difference between two (or one) proportions with a specified probability. Formalised by Jacob Cohen in his 1988 landmark text, it applies the arcsine transformation to convert proportions into the effect-size index h, enabling direct calculation of the required sample size.	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).