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Two-Way Analysis of Variance : Statistical Tests and Graphics Using R / by Thomas W. MacFarland

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Statistics ; 1 | SpringerLink BücherPublisher: New York, NY : Springer New York, 2012Description: Online-Ressource (VII, 150p. 3 illus., 2 illus. in color, digital)ISBN:
  • 9781461421344
Subject(s): Additional physical formats: 9781461421337 | Buchausg. u.d.T.: 978-1-4614-2133-7 MSC: MSC: *62-01 | 62-04 | 62H25 | 62H15 | 62J10 | 62-07LOC classification:
  • QA276-280
DOI: DOI: 10.1007/978-1-4614-2134-4Online resources: Summary: 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. .PPN: PPN: 1651228213Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS
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