Two-Way Analysis of Variance - Statistical Tests and Graphics Using R (Paperback, 2012 ed.)

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 graphical figures to complement outcomes from parametric Two-Way ANOVA.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Statistics
Release date:	December 2011
First published:	2012
Authors:	Thomas W. MacFarland
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	150
Edition:	2012 ed.
ISBN-13:	978-1-4614-2133-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General Promotions
LSN:	1-4614-2133-0
Barcode:	9781461421337

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