| Description |
1 online resource (vii, 139 pages) |
| Series |
SpringerBriefs in statistics |
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SpringerBriefs in statistics.
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| Contents |
Learn R with sample lessons in education and the social sciences, health, and the biological sciences -- Two-way analysis of variance (ANOVA) sample 1: comparison of scores on a final examination by teaching method and by status as a community college graduate -- Two-way analysis of variance (ANOVA) sample 2: comparison of systolic blood pressure readings by self-declared smoking habits and by self-declared drinking habits -- Two-way analysis of variance (ANOVA) sample 3: comparison of larvae counts by AgChem formulation and by AgChem application time-of-day |
| Summary |
Annotation 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 |
| Analysis |
Statistics |
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Mathematical statistics |
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Statistical Theory and Methods |
| Notes |
English |
| Subject |
Mathematical statistics -- Data processing.
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R (Computer program language)
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Mathematics.
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Electronic Data Processing
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Mathematical Concepts
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Mathematics
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Statistics
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MATHEMATICS -- Applied.
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MATHEMATICS -- Probability & Statistics -- General.
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Estadística matemática -- Datos-Tratamiento
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R (Lenguaje de programación)
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Matemáticas
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Mathematics
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Mathematical statistics -- Data processing
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R (Computer program language)
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| Form |
Electronic book
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| ISBN |
9781461421344 |
|
1461421349 |
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