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Jednofaktorová analýza rozptylu×Dvoucestná analýza rozptylu (Two-Way ANOVA)×
OborStatistikaStatistika
RodinaHypothesis testHypothesis test
Rok vzniku19251925
TvůrceRonald A. FisherRonald A. Fisher
TypParametric mean comparisonParametric factorial mean comparison
Původní zdrojFisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
Další názvyone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVAfactorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA
Příbuzné46
ShrnutíOne-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.Two-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.
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ScholarGatePorovnat metody: One-way ANOVA · Two-Way ANOVA. Získáno 2026-06-18 z https://scholargate.app/cs/compare