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Dvojcestná analýza rozptylu (dvojcestná ANOVA)×Jednofaktorová analýza rozptylu×
OdborŠtatistikaŠtatistika
RodinaHypothesis testHypothesis test
Rok vzniku19251925
TvorcaRonald A. FisherRonald A. Fisher
TypParametric factorial mean comparisonParametric mean comparison
Pôvodný zdrojMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Ďalšie názvyfactorial ANOVA, two-factor ANOVA, İki Yönlü ANOVAone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Príbuzné64
ZhrnutieTwo-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors.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.
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ScholarGatePorovnať metódy: Two-Way ANOVA · One-way ANOVA. Získané 2026-06-18 z https://scholargate.app/sk/compare