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Presný binomiálny test×Analýza výkonnosti pre ANOVA×
OdborŠtatistikaŠtatistika
RodinaRegression modelHypothesis test
Rok vzniku19881988
TvorcaClassical exact test; textbook treatment by Siegel & CastellanJacob Cohen
TypExact one-sample test for a proportionSample size determination
Pôvodný zdrojSiegel, S. & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences (2nd ed.). McGraw-Hill. ISBN: 978-0070573574Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
Ďalšie názvyexact binomial test, binomial probability test, exact test for a proportion, Tam Binom TestiANOVA power analysis, F-test power analysis, sample size for ANOVA, Güç Analizi — ANOVA
Príbuzné24
ZhrnutieThe 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).Power analysis for ANOVA is a prospective statistical technique that determines the minimum sample size needed to detect a specified group mean difference with a chosen probability. Formalized by Jacob Cohen in his 1988 monograph, it translates a researcher's effect size expectation — expressed as Cohen's f — along with the desired Type I error rate (alpha) and statistical power (1 − beta) into a concrete per-group sample size recommendation for one-way or factorial ANOVA designs.
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ScholarGatePorovnať metódy: Binomial Test · Power Analysis for ANOVA. Získané 2026-06-18 z https://scholargate.app/sk/compare