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|a Schlotzhauer, Sandra D.
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|a Elementary statistics using SAS /
|c Sandra D. Schlotzhauer.
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|a Cary, N.C. :
|b SAS Institute,
|c ©2009.
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|a 1 online resource (viii, 549 pages) :
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|a "This book started as the third edition of the SAS System for Elementary Statistical Analysis, which Dr. Ramon Littell coauthored"--Page [viiii].
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|a Includes bibliographical references (pages 505-509) and index.
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|a Getting started -- Creating SAS data sets -- Importing data -- Summarizing data -- Understanding fundamental statistical concepts -- Estimating the mean -- Comparing paired groups -- Comparing two independent groups -- Comparing more than two groups -- Understanding correlation and regression -- Performing basic regression diagnostics -- Creating and analyzing contingency tables.
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|a Print version record.
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|a Annotation
|b Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The remaining sections of the book show analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, author Sandra Schlotzhauer explains assumptions, statistical approach, and SAS methods and syntax, and makes conclusions from the results. Statistical methods covered include two-sample t-tests, paired-difference t-tests, analysis of variance, multiple comparison techniques, regression, regression diagnostics, and chi-square tests. Elementary Statistics Using SAS is a thoroughly revised and updated edition of Ramon Littell and Sandra Schlotzhauer's SAS System for Elementary Statistical Analysis.
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|a SAS Institute.
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|i Print version: Schlotzhauer, Sandra D.
|t Elementary statistics using SAS.
|d Cary, N.C. : SAS Institute, ©2009
|z 9781607643791
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