Taeger D., Kuhnt S. Statistical Hypothesis Testing with SAS and R

Wiley, 2015. — 306 p. — ISBN: 111995021XA comprehensive guide to statistical hypothesis testing with examples in SAS and RWhen 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 featuresProvides 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 fi nd this book a valuable
resource. Students using SAS and R will also fi nd it an excellent choice for reference
and data analysis.