| Two-Way Analysis of Variance: Statistical Tests and Graphics Using R 2012 Edition Contributor(s): Macfarland, Thomas W. (Author) |
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ISBN: 1461421330 ISBN-13: 9781461421337 Publisher: Springer OUR PRICE: $61.74 Product Type: Paperback - Other Formats Published: December 2011 |
| Additional Information |
| BISAC Categories: - Social Science | Statistics - Mathematics | Probability & Statistics - General |
| Dewey: 519.538 |
| LCCN: 2011943305 |
| Series: Springerbriefs in Statistics |
| Physical Information: 0.4" H x 6" W x 9" (0.50 lbs) 150 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |