Hypothesis test

Split-Plot Experimental Design

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.

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Sources

  1. Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. DOI: 10.2307/2983638
  2. Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443

Related methods

Referenced by

ScholarGateSplit-Plot Design (Split-Plot Experimental Design). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/split-plot-design