Basic Statistics Using SAS Enterprise Guide

Basic Statistics Using SAS Enterprise Guide

A Primer

eBook - 2007
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Intended for computer novices, this guide introduces the different analyses that can be performed with the Windows interface of the SAS statistical package. Step-by-step instructions illustrate how to test whether different populations have the same mean value, construct graphical displays of bivariate data, and analyze data with a continuous response variable, a binary response variable, and survival functions. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

McFarland Publishing
Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, this example-rich guide shows you how to conduct a wide range of statistical analyses without any SAS programming required. One or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided for each analysis. Exercises at the end of each chapter help you consolidate what has been learned. Topics include: Analysis of variance Dealing with categorical data Logistic regression Regression Significance tests Survival analysis And more! This text is ideal for those who want to use SAS to analyze their data, but do not have the time to undertake the considerable amount of learning involved in the programming approach. SAS Products and Releases: Base SAS: 9.1.3, 9.1.2, 9.1, 9.0 SAS Enterprise Guide: 9.1.3, 9.1.2, 9.1, 9.0 Operating Systems: 64-bit Enabled AIX, 64-bit Enabled HP-UX, 64-bit Enabled Solaris, HP-UX IPF, Linux, Linux on Itanium, Microsoft Windows for IPF, OpenVMS Alpha, Solaris for x64, Tru64 UNIX, Windows, Windows NT Workstation, z/OS

Publisher: Cary, N.C. : SAS Institute, 2007
ISBN: 9781599947150
1599947153
9781599945736
1599945738
Characteristics: 1 online resource (x, 226 pages) : illustrations
Additional Contributors: Everitt, Brian
Alternative Title: SAS Enterprise Guide

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