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Анализ на мощността×Еднофакторен дисперсионен анализ×
ОбластСтатистикаСтатистика
СемействоHypothesis testHypothesis test
Година на възникване1969 (1st ed.); 1988 (seminal 2nd ed.)1925
СъздателJacob CohenRonald A. Fisher
ТипSample size and power planningParametric mean comparison
Основополагащ източникCohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Други названияsample size calculation, power calculation, sensitivity analysis, a priori power analysisone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Свързани54
РезюмеPower analysis is a planning and evaluation technique that quantifies the probability of detecting a real effect of a given magnitude at a chosen significance level. It links four quantities — sample size, effect size, significance level (alpha), and statistical power (1 minus beta) — so that researchers can determine the sample size needed before data collection or evaluate the sensitivity of a completed study.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: Power analysis · One-way ANOVA. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare