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.

Author/creator Taeger, Dirk
Other author Kuhnt, Sonja.
Format Electronic
Publication InfoChichester, West Sussex : Wiley, 2014.
Description1 online resource.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
Statistical hypothesis testing.
SAS (Computer program language)
R (Computer program language)

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. 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.
Abstract "Presents a comprehensive guide to hypothesis testing using SAS and R"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Taeger, Dirk, author. Statistical hypothesis testing with SAS and R Hoboken, NJ : John Wiley & Sons Inc., 2014 9781119950219
Genre/formElectronic books.
LCCN 2013044439
ISBN9781118762615 (ePub)
ISBN9781118762608 (Adobe PDF)