A comprehensive guide to statistical hypothesis testing with examples in SAS and R

When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself?

This book answers these questions and provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test.

A general summary of statistical test theory is presented, along with a basic description for each test, including the necessary prerequisites, assumptions, the formal test problem and the test statistic. Examples in both SAS and R are provided, along with program code to perform the test, resulting output and remarks explaining the necessary program parameters.

Key features: ? Provides examples in both SAS and R for each test presented. ? Looks at the most common statistical tests, displayed in a clear and easy to follow way. ? Supported by a supplementary website http://www.d-taeger.de featuring example program code.

Academics, practitioners and SAS and R programmers will find this book a valuable resource. Students using SAS and R will also find it an excellent choice for reference and data analysis.