Statistical Hypothesis Testing with SAS and R

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.