Two-Way Analysis of Variance [electronic resource] : Statistical Tests and Graphics Using R / by Thomas W. MacFarland.
By: MacFarland, Thomas W [author.].
Contributor(s): SpringerLink (Online service).
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BookSeries: SpringerBriefs in Statistics: 1Publisher: New York, NY : Springer New York, 2012Description: VII, 150p. 3 illus., 2 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461421344.Subject(s): Statistics | Mathematical statistics | Statistics | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | Statistics, general | Statistical Theory and MethodsDDC classification: 519.5 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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.
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