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OverviewBridging 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, SAS procedures, statements, and options 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. Nonparametric methods such as Kruskal-Wallis and Wilcoxon tests are also discussed. Full Product DetailsAuthor: Sandra D. SchlotzhauerPublisher: SAS Publishing Imprint: SAS Publishing Dimensions: Width: 19.10cm , Height: 2.80cm , Length: 23.50cm Weight: 0.952kg ISBN: 9781607643791ISBN 10: 1607643790 Pages: 560 Publication Date: 17 April 2015 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsIn 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 Author InformationSandra Schlotzhauer provides consulting and training services, focusing on the pharmaceutical industry. She started Schlotzhauer Consulting LLC in 1996 after 15 years of experience in the software, pharmaceutical, and aerospace industries. Sandra received her BS and MS in statistics from the University of Florida, where she learned the value of combining statistics and software. Her consulting projects share a common theme of translating technical concepts to business deliverables. She draws on her extensive experience in teaching basic statistics to non-statisticians, with a focus on using statistical methods and software as tools to make practical decisions based on data. Sandra is also the author of Tab Content 6Author Website:Countries AvailableAll regions |