SAS System for Elementary Statistical Analysis, Second Edition

This updated edition shows how to use the SAS System to perform basic statistical analysis. General topics include creating a data set with the SAS System; summarizing data with descriptive statistics, frequency tables, and bar charts; comparing groups (t-tests, one-way ANOVA, and nonparametric analogues); performing basic linear regression (lines, curves, and two-variable models); performing simple regression diagnostics (residuals plots, studentized residuals); and creating and analyzing tables of data. Using real-life examples, this beginner's guide bridges the gap between statistics texts and SAS documentation.

Supports releases 6.07 and higher of SAS software.

Sandra D. Schlotzhauer
Sandra D. Schlotzhauer provides consulting and training services with an emphasis on the pharmaceutical industry. She started Schlotzhauer Consulting after nine years at SAS Institute, where she worked in software development, course design, and documentation. Prior to working for SAS Institute, she was a statistician in industry for several years. Her activities include project management of electronic submissions for new drugs; building custom courses in JMP, SAS/INSIGHT, SAS/QC, and SAS/PH-Clinical software; and consulting on the implementation of software standards for SAS programming environments. Sandra has B.S. and M.S. degrees in statistics from the University of Florida and has used SAS software since 1979.

Ramon C. Littell, Ph.D.
Ramon C. Littell, Ph.D., is a professor of statistics at the University of Florida, where he teaches several courses in statistics and a course in data analysis using SAS software. Dr. Littell is a former SUGI chair and was closely associated with the Southern Regional Project that funded development of SAS software at North Carolina State University. He is also a co-author of the SAS System for Linear Models, Third Edition; SAS System for Regression, Second Edition; and SAS System for Mixed Models. Dr. Littell has M.S. and Ph.D. degrees from Oklahoma State University and is a Fellow of the American Statistical Association. He has used SAS software since the mid-1970s.