Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
468952 | Computer Methods and Programs in Biomedicine | 2010 | 7 Pages |
Abstract
The objective of the method described in this paper is to develop a spreadsheet template for the purpose of comparing multiple sample means. An initial analysis of variance (ANOVA) test on the data returns F—the test statistic. If F is larger than the critical F value drawn from the F distribution at the appropriate degrees of freedom, convention dictates rejection of the null hypothesis and allows subsequent multiple comparison testing to determine where the inequalities between the sample means lie. A variety of multiple comparison methods are described that return the 95% confidence intervals for differences between means using an inclusive pairwise comparison of the sample means.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Angus M. Brown,