Two-Way Analysis of Variance: Statistical Tests and Graphics Using R (SpringerBriefs in Statistics) - Image 1

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Springer Two-Way Analysis of Variance: Statistical Tests and Graphics Using R (SpringerBriefs in Statistics)

Name: Two-Way Analysis of Variance: Statistical Tests and Graphics Using R (SpringerBriefs in Statistics)
Brand: Springer
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Medical, Legal & Social Sciences

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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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1461421330
Category: Books > Subjects > Biography > Medical, Legal & Social Sciences
Domain: Amazon UK
Publication Date: 09 December 2011
Listed Since: 07 October 2011

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Springer Two-Way Analysis of Variance: Statistical Tests and Graphics Using R (SpringerBriefs in Statistics)

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