Basic graph construction is first introduced then readers learn how to add color, pattern, and other enhancements to graphics images. Statistical Graphics procedures and SAS/GRAPH can be quite challenging to learn, but these are presented in a very achievable format. The IMPORT and EXPORT procedures and ODS are used to accomplish these tasks. Reading and writing to external files are among the most used SAS skills, and these concepts are clearly presented. The ability to select or suppress results using Output Delivery System (ODS) is made simple. Easy transition from user terminology to SAS terminology is provided. Brief reviews of statistical methods are included in chapters accompanying the corresponding SAS procedures. The author assists the reader in making sense of the error messages in the SAS log. Programming notes based on the author's experience occur throughout the book. Objectives are stated as tasks with detailed step-by-step instructions. Each chapter has clear objectives with SAS syntax and output results given. Chapters have user-friendly text and objectives. Strengths of this book include the following: Examples are easy to follow and understand. These lessons are those the author has found successful in the classroom. It is appropriate for the beginning programmer with no prior SAS experience and the researcher who would like to refresh SAS programming skills. It is also an excellent programming supplement for an introductory statistics course. SAS for Elementary Statistics: Getting Started provides an introduction to SAS programming for those who have experience with introductory statistical methods. Elementary Statistics Using SAS is a thoroughly revised and updated edition of Ramon Littell and Sandra Schlotzhauer's SAS System for Elementary Statistical Analysis. 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. For each analysis, author Sandra Schlotzhauer explains assumptions, statistical approach, and SAS methods and syntax, and makes conclusions from the results. The remaining sections of the book show analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. 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.