Statistical Hypothesis Testing with SAS and R

By: Sonja Kuhnt and Dirk Taeger

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Synopsis: A 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 commonstatistical test problems in a comprehensive way, making it easy to find and performan appropriate statistical test.A general summary of statistical test theory is presented, along with a basicdescription for each test, including the necessary prerequisites, assumptions, theformal 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 remarksexplaining 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 exampleprogram code.Academics, practitioners and SAS and R programmers will find this book a valuableresource. Students using SAS and R will also find it an excellent choice for referenceand data analysis.