Statnote 40: Cochran's Q test

Richard Armstrong, Anthony Hilton

Research output: Contribution to specialist publicationArticle

Abstract

Cochran's Q-test is a non-parametric analysis which can be applied to a two-way design in which the data are binomial and can take only two possible outcomes, e.g., 0 or 1, alive or dead, present or absent, clean or dirty, infected or non-infected, and is an extension to the binomial tests introduced in Statnote 39 . This statnote describes the application of this test in the analysis of the changes which occur in the fungal flora of forestry nursery beds after two different sterilization procedures .
Original languageEnglish
Pages31-33
Number of pages3
Volume16
No.1
Specialist publicationMicrobiologist
Publication statusPublished - 1 Mar 2015

Keywords

  • Cochran's Q test
  • two-way design
  • non-parametric statistics
  • binomial data

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  • Cite this

    Armstrong, R., & Hilton, A. (2015). Statnote 40: Cochran's Q test. Microbiologist, 16(1), 31-33.