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.