Elementary Statistics Using SAS

By: Sandra D. Schlotzhauer

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Paperback | 17 April 2015

At a Glance

Paperback
560 Pages

Dimensions(cm)
23.5 x 19.05 x 2.9

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$207.75

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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.

This book is part of the SAS Press program.

Industry Reviews

"In this book the author first introduces you to SAS software, then shows how to use SAS to perform basic statistical analysis. The book is well written and organized. General topics include how to use the SAS windowing environment to write and submit SAS programs; how to create SAS data sets and modify the variables that they contain; basic descriptive statistics (measures of central tendency and variability, frequency tables, and graphs); correlation and regression, performing basic linear regression (lines, curves, and two-variable models); performing simple regression diagnostics (residuals plots); t tests (single-sample, independent and paired samples); analysis of variance (ANOVA), both one-way and factorial; and the chi-square test of independence. Even if you are new to statistics and computers, you soon will be recording research data, writing SAS programs, and interpreting the results." -- AbouEl-Makarim Aboueissa, Assistant Professor of Statistics "Department of Mathematics and Statistics, University of Southern Maine"

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