Statistical hypothesis testing with SAS and R

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. "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. 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."-- Unedited summary from book "This book provides a reference guide to statistical tests and their application to data using SAS and R.A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. The test statistic is stated together with annotations on its distribution, along with examples in both SAS and R. Each example contains the code to perform the test, the output, and remarks that explain necessary program parameters"-- "Presents a comprehensive guide to hypothesis testing using SAS and R"-- Read more... Abstract: This book provides a reference guide to statistical tests and their application to data using SAS and R. A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. Read more... "This book provides a reference guide to statistical tests and their application to data using SAS and R.A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. The test statistic is stated together with annotations on its distribution, along with examples in both SAS and R. Each example contains the code to perform the test, the output, and remarks that explain necessary program parameters"-- Provided by publisher Content: 1. Statistical hypothesis testing -- 2. Tests on the mean -- 3. Tests on the variance -- 4. Tests on proportions -- 5. Poisson distribution -- 6. Exponential distribution -- 7. Tests on association -- 8. Tests on location -- 9. Tests on scale differences -- 10. Other tests -- 11. Tests on normality -- 12. Tests on other distributions -- 13. Tests on randomness -- 14. Tests on contingency tables -- 15. Tests on outliers -- 16. Tests in regression analysis -- 17. Tests in variance analysis. "Presents a comprehensive guide to hypothesis testing using SAS and R"-- Provided by publisher