Abstract: Chapter 6 One-Way Analysis of Variance (Anova) Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers by this author Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers by this author Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers by this author Book Author(s):Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers by this author First published: 12 November 2010 https://doi.org/10.1002/9780470905173.ch6Citations: 5 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onEmailFacebookTwitterLinkedInRedditWechat Summary Analysis of variance (ANOVA) is the most effective method available for analyzing more complex data sets. It is, however, a method that comprises many different variations, each of which applies in a particular experimental context. Hence, it is possible to apply the wrong type of ANOVA and to draw erroneous conclusions from the results. As a consequence, various different experimental designs and their appropriate ANOVA are discussed in this chapter. The chapter is an introduction to ANOVA and describes how ANOVA came to be invented, the logic on which it is based, and the basic assumptions necessary for its correct use. The application of the method to the simplest type of scenario, namely a one-way ANOVA in a completely randomized design is then described. Citing Literature Statistical Analysis in Microbiology: Statnotes RelatedInformation
Publication Year: 2010
Publication Date: 2010-11-12
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 7
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