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Statistical Hypothesis Testing with SAS and R|Dirk Taeger

Statistical Hypothesis Testing with SAS and R

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781119950219
  • ISBN-10: 111995021X
  • Publisher: Wiley
  • Publish Date: March 2014
  • Dimensions: 9.6 x 6.9 x 0.9 inches
  • Shipping Weight: 1.4 pounds
  • Page Count: 312

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