Statistical Hypothesis Testing with SAS and R

by Dirk Taeger and Sonja Kuhnt

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.

• Format: Hardcover
• Language: English
• ISBN: 111995021X
• ISBN13: 9781119950219
• Release Date: March 2014
• Publisher: Wiley
• Length: 312 Pages
• Weight: 1.40 lbs.
• Dimensions: 0.9" x 6.9" x 9.6"