Two-Way Analysis of Variance

Statistical Tests and Graphics Using R

By:

Thomas W. MacFarland

Format:

Paperback / softback

Series:

Springerbriefs in Statistics

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Description

In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the Two-Way ANOVA, which determines the differences--and possible interactions--when variables are presented from the perspective of two or more categories. When a Two-Way ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation. Along with instruction on the use of R and R syntax associated with Two-Way ANOVA, this brief will also reinforce the use of descriptive statistics and graphicalfigures to complement outcomes from parametric Two-Way ANOVA.

Author Biography:

Thomas W. MacFarland Senior Research Associate and Associate Professor Nova Southeastern University Office of Institutional Effectiveness Fort Lauderdale, FL 33314 tommac@nova.edu

Release date Australia

December 9th, 2011

Author

Thomas W. MacFarland

Audience

Professional & Vocational

Illustrations

2 Illustrations, color; 1 Illustrations, black and white; VII, 150 p. 3 illus., 2 illus. in color.

Pages

150

Series

Springerbriefs in Statistics

Dimensions

155x235x10

ISBN-13

9781461421337

Product ID

19012163

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