Statistical hypothesis testing with SAS and R / Dirk Taeger, Sonja Kuhnt.

Format:

Book

Author/Creator:

Taeger, Dirk, author.

Kuhnt, Sonja, author.

Language:

English

Subjects (All):

Statistical hypothesis testing.

SAS (Computer program language).

R (Computer program language).

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

First edition.

Place of Publication:

Chichester, West Sussex : Wiley & Sons, Ltd, 2014.

System Details:

text file

Summary:

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.

Notes:

Description based on print version record.

Includes bibliographical references and index.

OCLC:

905230073