विधियों की तुलना करें

	विभाजित-भूखंड प्रायोगिक अभिकल्प	एक-तरफ़ा विचरण विश्लेषण
क्षेत्र	प्रयोगात्मक अभिकल्प	सांख्यिकी
परिवार	Hypothesis test	Hypothesis test
उद्भव वर्ष	1935	1925
प्रवर्तक	Frank Yates	Ronald A. Fisher
प्रकार	Parametric mixed-model ANOVA	Parametric mean comparison
मौलिक स्रोत	Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247.	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
उपनाम	split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
संबंधित	6	4
सारांश	The 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.