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January 1, 1951Biometrika205 citations

Charts of the Power Function for Analysis of Variance Tests, Derived From the Non-Central F-Distribution

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EPE. S. PearsonUniversity of LeedsHHH. O. HartleyMedical University of South Carolina

Key Points

  • This work aims to derive and present charts of the power function for analysis of variance tests based on non-central F-distribution.
  • Derivation of power function charts from non-central F-distribution.
  • Illustration of statistical tests through graphical representation.
  • Focus on practical application in variance analysis.
  • Charts were generated showing varying power levels across different variance scenarios.
  • The derived power functions provide insights for selecting appropriate statistical tests.

Abstract

Journal Article CHARTS OF THE POWER FUNCTION FOR ANALYSIS OF VARIANCE TESTS, DERIVED FROM THE NON-CENTRAL F-DISTRIBUTION Get access E. S. PEARSON, E. S. PEARSON Search for other works by this author on: Oxford Academic Google Scholar H. O. HARTLEY H. O. HARTLEY Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 38, Issue 1-2, June 1951, Pages 112–130, https://doi.org/10.1093/biomet/38.1-2.112 Published: 01 June 1951

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Cite This Study

Pearson et al. (1951) studied this question.

synapsesocial.com/papers/6a130fccf7bd4f5c7da74835https://doi.org/10.1093/biomet/38.1-2.112
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