Two-Way Analysis of Variance

Two-Way Analysis of Variance
Author :
Publisher : Springer Science & Business Media
Total Pages : 146
Release :
ISBN-10 : 9781461421337
ISBN-13 : 1461421330
Rating : 4/5 (330 Downloads)

Book Synopsis Two-Way Analysis of Variance by : Thomas W. MacFarland

Download or read book Two-Way Analysis of Variance written by Thomas W. MacFarland and published by Springer Science & Business Media. This book was released on 2011-12-09 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​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.


Two-Way Analysis of Variance Related Books

Two-Way Analysis of Variance
Language: en
Pages: 146
Authors: Thomas W. MacFarland
Categories: Social Science
Type: BOOK - Published: 2011-12-09 - Publisher: Springer Science & Business Media

GET EBOOK

​In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable a
Learning Statistics with R
Language: en
Pages: 617
Authors: Daniel Navarro
Categories: Computers
Type: BOOK - Published: 2013-01-13 - Publisher: Lulu.com

GET EBOOK

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the
Basic and Advanced Statistical Tests
Language: en
Pages: 223
Authors: Amanda Ross
Categories: Education
Type: BOOK - Published: 2018-01-03 - Publisher: Springer

GET EBOOK

This book focuses on extraction of pertinent information from statistical test outputs, in order to write result sections and/or accompanying tables and/or figu
Understanding Statistics and Experimental Design
Language: en
Pages: 146
Authors: Michael H. Herzog
Categories: Science
Type: BOOK - Published: 2019-08-13 - Publisher: Springer

GET EBOOK

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I
Data Analysis Using Regression and Multilevel/Hierarchical Models
Language: en
Pages: 654
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2007 - Publisher: Cambridge University Press

GET EBOOK

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.