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Analysis of Experimental Designs

  • Robert P. Trueblood
  • John N. LovettJr.

Abstract

In Chapter 4 we showed how to compare the variances of two samples to determine whether the corresponding data sets appeared to represent the same population. We calculated a variance estimate for each sample, and then compared their ratio to the F distribution. In this chapter, we extend that concept to the analysis of variance (ANOVA) of several (more than two) samples. In Figure 1–3, our diagnostic tree directs us to ANOVA when we want to analyze relationships among factors involved in an experimental design.

Keywords

Life Expectancy Correction Term ANOVA Table Mean Square Error Degree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Robert P. Trueblood and John N. Lovett, Jr. 2001

Authors and Affiliations

  • Robert P. Trueblood
  • John N. LovettJr.

There are no affiliations available

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