विधियों की तुलना करें

	गुणक प्रयोगशाला प्रयोग	प्रसरण विश्लेषण (ANOVA)
क्षेत्र	प्रयोगात्मक अभिकल्प	अनुसंधान सांख्यिकी
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1926 (Fisher's factorial principle); laboratory application systematized mid-20th century	1925
प्रवर्तक	Ronald A. Fisher	Ronald A. Fisher
प्रकार	Experimental research design	Method
मौलिक स्रोत	Kirk, R. E. (2013). Experimental Design: Procedures for the Behavioral Sciences (4th ed.). Sage Publications. ISBN: 978-1412974455	Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver and Boyd.
उपनाम	factorial lab experiment, laboratory factorial design, factorial controlled experiment, multi-factor lab study	ANOVA, F-test
संबंधित	2	4
सारांश	A factorial laboratory experiment is a controlled experimental design in which two or more independent variables (factors) are simultaneously manipulated, each at two or more levels, within a laboratory setting. This design allows researchers to estimate both the individual main effect of each factor and the interaction effects between factors — making it one of the most efficient and informative designs in behavioral, psychological, and natural science research.	ANOVA is a parametric statistical method developed by Ronald A. Fisher in 1925 that tests whether means differ significantly across three or more independent groups. By partitioning total variance into between-group and within-group components, ANOVA determines whether observed differences are likely due to treatment effects or random variation, making it fundamental to comparative research across medicine, psychology, agriculture, and engineering.