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

Thomas W. Macfarland

ISBN 10: 1461421330 / ISBN 13: 9781461421337

Published by Springer US, 2011

About this Item

Two-Way Analysis of Variance | Statistical Tests and Graphics Using R | Thomas W. Macfarland | Taschenbuch | vii | Englisch | 2011 | Springer US | EAN 9781461421337 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 106756604

Bibliographic Details

• Title: Two-Way Analysis of Variance | Statistical Tests and Graphics Using R
• Publisher: Springer US
• Publication Date: 2011
• Language: English
• ISBN 10: 1461421330
• ISBN 13: 9781461421337
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 9D millimeters 235 millimeters width by 155 millimeters height by 9 millimeters depth
• Weight: 236 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

​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.

About the Author

Thomas W. MacFarland

Senior Research Associate and Associate Professor

Nova Southeastern University Office of Institutional Effectiveness

Fort Lauderdale, FL 33314 tommac@nova.edu