MacFarland, Thomas W.
Two-Way Analysis of Variance Statistical Tests and Graphics Using R / [electronic resource] : by Thomas W. MacFarland. - VII, 150p. 3 illus., 2 illus. in color. online resource. - SpringerBriefs in Statistics ; 1 . - SpringerBriefs in Statistics ; 1 .
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.
9781461421344
10.1007/978-1-4614-2134-4 doi
Statistics.
Mathematical statistics.
Statistics.
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
Statistics, general.
Statistical Theory and Methods.
QA276-280
519.5
Two-Way Analysis of Variance Statistical Tests and Graphics Using R / [electronic resource] : by Thomas W. MacFarland. - VII, 150p. 3 illus., 2 illus. in color. online resource. - SpringerBriefs in Statistics ; 1 . - SpringerBriefs in Statistics ; 1 .
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.
9781461421344
10.1007/978-1-4614-2134-4 doi
Statistics.
Mathematical statistics.
Statistics.
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
Statistics, general.
Statistical Theory and Methods.
QA276-280
519.5