Statistical Hypothesis Testing with SAS and R

von Sonja Kuhnt, Dirk Taeger

312 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• ISBN: 9781119950219
• Sprache: Englisch
• Erscheinungsdatum: 24.03.2014
• Größe: 244 x 175 mm
• Verlag: Wiley