Statistical Hypothesis Testing with SAS and R

<p><b>A comprehensive guide to statistical hypothesis testing with examples in SAS and R</b></p> <p>When analyzing datasets the following questions often arise:<br /> <i><br /> Is there a short hand procedure for a statistical test available in SAS or R?</i><br /> <i>If so, how do I use it?</i><br /> <i>If not, how do I program the test myself?</i></p> <p>This book answers these questions and provides an overview of the most common<br /> statistical test problems in a comprehensive way, making it easy to find and perform<br /> an appropriate statistical test.</p> <p>A general summary of statistical test theory is presented, along with a basic<br /> description for each test, including the necessary prerequisites, assumptions, the<br /> formal test problem and the test statistic. Examples in both SAS and R are provided,<br /> along with program code to perform the test, resulting output and remarks<br /> explaining the necessary program parameters.</p> <p>Key features:<br /> • Provides examples in both SAS and R for each test presented.<br /> • Looks at the most common statistical tests, displayed in a clear and easy to follow way.<br /> • Supported by a supplementary website <a href=”http://www.d-taeger.de/”>http://www.d-taeger.de</a> featuring example<br /> program code.</p> <p>Academics, practitioners and SAS and R programmers will find this book a valuable<br /> resource. Students using SAS and R will also find it an excellent choice for reference<br /> and data analysis.</p>