9781590474174-1590474171-A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition

ISBN-13: 9781590474174
ISBN-10: 1590474171
Edition: 2nd ed.
Author: Larry Hatcher, Edward J., Norm ORourke, Ph.d. Stepanksi
Publication date: 2005
Publisher: SAS Institute
Format: Paperback 548 pages
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Book details

ISBN-13: 9781590474174
ISBN-10: 1590474171
Edition: 2nd ed.
Author: Larry Hatcher, Edward J., Norm ORourke, Ph.d. Stepanksi
Publication date: 2005
Publisher: SAS Institute
Format: Paperback 548 pages

Summary

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition (ISBN-13: 9781590474174 and ISBN-10: 1590474171), written by authors Larry Hatcher, Edward J., Norm ORourke, Ph.d. Stepanksi, was published by SAS Institute in 2005. With an overall rating of 4.0 stars, it's a notable title among other Computer Science (Mathematical & Statistical, Software) books. You can easily purchase or rent A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition (Paperback) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.34.

Description

Updated for SASĀ®9, this second edition is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics. Clear explanations and simple language guide you through the research terminology, data input, data manipulation, and types of statistical analysis that are most commonly used in the social and behavioral sciences. Providing practice data inspired by actual studies, this book teaches you how to choose the right statistic, understand the assumptions underlying the procedure, prepare the SAS program for the analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association. Step by step you will learn how to perform the following types of analysis: simple descriptive statistics, measures of bivariate association, t tests: independent samples and paired samples, NOVA and MANOVA, multiple regression, principal component analysis, and assessing scale reliability with coefficient alpha. This text is ideally suited to students who are beginning their study of data analysis, and to professors and researchers who want a handy reference on their bookshelf.

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