विधियों की तुलना करें

	विभाजित-भूखंड प्रायोगिक अभिकल्प	द्वि-मार्गी प्रसरण विश्लेषण (द्वि-मार्गी एनोवा)
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 factorial mean comparison
मौलिक स्रोत	Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247.	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
उपनाम	split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)	factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA
संबंधित	6	6
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.	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.