SAS for Elementary Statistics: Getting Started provides an introduction to SAS programming for those who have experience with introductory statistical methods. It is also an excellent programming supplement for an introductory statistics course. It is appropriate for the beginning programmer with no prior SAS experience and the researcher who would like to refresh SAS programming skills. These lessons are those the author has found successful in the classroom. Strengths of this book include the following:

• Examples are easy to follow and understand.
• Chapters have user-friendly text and objectives.
• Each chapter has clear objectives with SAS syntax and output results given.
• Objectives are stated as tasks with detailed step-by-step instructions.
• Programming notes based on the author's experience occur throughout the book.
• The author assists the reader in making sense of the error messages in the SAS log.
• Brief reviews of statistical methods are included in chapters accompanying the corresponding SAS procedures.
• Easy transition from user terminology to SAS terminology is provided.
• The ability to select or suppress results using Output Delivery System (ODS) is made simple.
• Reading and writing to external files are among the most used SAS skills, and these concepts are clearly presented. The IMPORT and EXPORT procedures and ODS are used to accomplish these tasks.
• Statistical Graphics procedures and SAS/GRAPH can be quite challenging to learn, but these are presented in a very achievable format. Basic graph construction is first introduced then readers learn how to add color, pattern, and other enhancements to graphics images.

Carla L. Goad is a Professor of Statistics at Oklahoma State University. She holds a Ph.D. in Statistics from Kansas State University. SAS Programming has been an integral part of her work since the late 1980's. She has been teaching an introductory SAS programming course and SAS applications in graduate statistical methods courses since the mid 1990's. Her areas of expertise are experimental design and analysis and linear models. She is a statistical consultant for the Oklahoma Agriculture Experiment Station and has enjoyed working with agricultural researchers in animal and plant sciences. Through these collaborations she has coauthored many articles in agriculture research journals.