Statistical Hypothesis Testing with SAS and R

A comprehensive guide to statistical hypothesis testing withexamples in SAS and R
When analyzing datasets the following questions oftenarise:
Is there a short hand procedure for a statistical test available inSAS 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 ofthe most common
statistical test problems in a comprehensive way, making it easy tofind and perform
an appropriate statistical test.
A general summary of statistical test theory is presented, alongwith a basic
description for each test, including the necessary prerequisites, assumptions, the
formal test problem and the test statistic. Examples in both SASand R are provided,
along with program code to perform the test, resulting output andremarks
explaining the necessary program parameters.
Key features:
* Provides examples in both SAS and R for each testpresented.
* Looks at the most common statistical tests, displayed in aclear and easy to follow way.
* Supported by a supplementary website http://www. d-taeger. de featuringexample
program code.
Academics, practitioners and SAS and R programmers will findthis book a valuable
resource. Students using SAS and R will also find it an excellentchoice for reference
and data analysis.