Statistical Hypothesis Testing with SAS and R

Dirk Taeger (u. a.)

ISBN 10: 111995021X / ISBN 13: 9781119950219

Published by Wiley, 2014

About this Item

Statistical Hypothesis Testing with SAS and R | Dirk Taeger (u. a.) | Buch | Preface xiiiPart I INTRODUCTION 11 Statistical hypothesis testing 31.1 Theory of statistical hypothesis testing 31.2 Testing statistical hypothesis with SAS and R 41.3 Presentation of the statistical tests 13References 15Part II NORMAL DISTRIBUTION 172 T | Englisch | 2014 | Wiley | EAN 9781119950219 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 105420885

Bibliographic Details

• Title: Statistical Hypothesis Testing with SAS and R
• Publisher: Wiley
• Publication Date: 2014
• Language: English
• ISBN 10: 111995021X
• ISBN 13: 9781119950219
• Binding: Buch
• Condition: Neu
• Dimensions: 244W x 175H x 23D millimeters 244 millimeters width by 175 millimeters height by 23 millimeters depth
• Weight: 635 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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 University of Applied Sciences
and Arts, Dortmund, Germany