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Pokusni nacrt s podijeljenim parcelama×Jednosmjerna analiza varijance×
PodručjeEksperimentalni dizajnStatistika
ObiteljHypothesis testHypothesis test
Godina nastanka19351925
TvoracFrank YatesRonald A. Fisher
VrstaParametric mixed-model ANOVAParametric mean comparison
Temeljni izvorYates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. DOI ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Drugi nazivisplit-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Srodne64
SažetakThe split-plot design is a parametric experimental design that applies one factor to large whole plots and a second factor to subdivisions (sub-plots) within each whole plot. It was introduced by Frank Yates in 1935 to handle agricultural experiments where one factor — such as irrigation or tillage method — is difficult or impractical to change frequently, while a second factor can be varied more easily within the same plot.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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ScholarGateUsporedite metode: Split-Plot Design · One-way ANOVA. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare