Thomas W. MacFarland

Two-Way Analysis of Variance

Statistical Tests and Graphics Using R

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• SpringerBriefs in Statistics 1
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 80124154, 978-1-4614-2133-7
• 2012
• Seitenzahl: 148
• Erscheinungstermin: 9. Dezember 2011
• Englisch
• Abmessung: 235mm x 155mm x 9mm
• Gewicht: 246g
• ISBN-13: 9781461421337
• ISBN-10: 1461421330
• Artikelnr.: 34218863

Autorenporträt

Thomas W. MacFarland Senior Research Associate and Associate Professor Nova Southeastern University Office of Institutional Effectiveness Fort Lauderdale, FL 33314 [e-mail]

Inhaltsangabe

1. Introduction.2. Data Import or Data Entry3. Data Organization4. Display the Code Book5. Conduct a Visual Data Check6. Descriptive Analysis of the Data.

Rezensionen

"This book provides a detailed description of the use of R code with examples for statistical tests and graphics in two-way analysis of variance in four chapters. ... It is a great softcover book for self-learning and self-training at a modest price." (Subir Ghosh, Technometrics, Vol. 56 (4), November, 2014)