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.
- ISBN13 9781118762608
- Publish Date 7 January 2014 (first published 1 January 2014)
- Publish Status Active
- Publish Country US
- Imprint John Wiley & Sons Inc
- Format eBook
- Pages 312
- Language English
- URL http://wiley.com/remtitle.cgi?isbn=1118762606