Introducing Anova and Ancova

Introducing Anova and Ancova
Author :
Publisher : SAGE
Total Pages : 204
Release :
ISBN-10 : 076195161X
ISBN-13 : 9780761951612
Rating : 4/5 (612 Downloads)

Book Synopsis Introducing Anova and Ancova by : Andrew Rutherford

Download or read book Introducing Anova and Ancova written by Andrew Rutherford and published by SAGE. This book was released on 2001-03-08 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic introduction to analysis of variance and analysis of covariance.


Introducing Anova and Ancova Related Books

Introducing Anova and Ancova
Language: en
Pages: 204
Authors: Andrew Rutherford
Categories: Computers
Type: BOOK - Published: 2001-03-08 - Publisher: SAGE

DOWNLOAD EBOOK

Basic introduction to analysis of variance and analysis of covariance.
ANOVA and ANCOVA
Language: en
Pages: 358
Authors: Andrew Rutherford
Categories: Mathematics
Type: BOOK - Published: 2012-08-29 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at t
Introducing Anova and Ancova
Language: en
Pages: 193
Authors: Andrew Rutherford
Categories: Social Science
Type: BOOK - Published: 2000-11-14 - Publisher: SAGE

DOWNLOAD EBOOK

Traditional approaches to ANOVA and ANCOVA are now being replaced by a General Linear Modeling (GLM) approach. This book begins with a brief history of the sepa
ANOVA and ANCOVA
Language: en
Pages:
Authors: Sharan Sharma
Categories: Anthropology
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

ANOVA is an acronym for analysis of variance, a statistical method that is used to infer if the mean value of a continuous variable is the same in different pop
Introduction to Analysis of Variance
Language: en
Pages: 198
Authors: J. Rick Turner
Categories: Social Science
Type: BOOK - Published: 2001-04-13 - Publisher: SAGE Publications

DOWNLOAD EBOOK

Having trouble finding a book that shows you not only how to analyze data but also how to collect the data appropriately and fully interpret the analysis, too?