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Two-Way Analysis of Variance: Statistical Tests and Graphics Using R

Two-Way Analysis of Variance: Statistical Tests and Graphics Using R

          
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About the Book

​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.


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Product Details
  • ISBN-13: 9781461421337
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 8
  • Height: 229 mm
  • No of Pages: 150
  • Series Title: Springerbriefs in Statistics
  • Sub Title: Statistical Tests and Graphics Using R
  • Width: 152 mm
  • ISBN-10: 1461421330
  • Publisher Date: 09 Dec 2011
  • Binding: Paperback
  • Edition: 2012 ed.
  • Language: English
  • Returnable: Y
  • Spine Width: 10 mm
  • Weight: 217 gr


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