Statistical hypothesis testing with SAS and R / Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund Univeristy of Applied Sciences and Arts, Dortmund, Germany. [electronic resource] Taeger, Dirk, author. Kuhnt, Sonja, author. Statistical hypothesis testing. SAS (Computer program language) R (Computer program language) QA277 519.50285/5133 23 Includes bibliographical references and index. Print version record and CIP data provided by publisher. "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. "Presents a comprehensive guide to hypothesis testing using SAS and R"-- Provided by publisher. 2014 Text 1 online resource. http://onlinelibrary.wiley.com/book/10.1002/9781118762585 eng Statistical hypothesis testing with SAS and R. Statistical hypothesis testing with SAS and R.