Statistical Hypothesis Testing with SAS and R

  • 3h 30m
  • Dirk Taeger, Sonja Kuhnt
  • John Wiley & Sons (UK)
  • 2014

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.

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.

In this Book

  • Statistical Hypothesis Testing
  • Tests on the Mean
  • Tests on the Variance
  • Tests on Proportions
  • Poisson Distribution
  • Exponential Distribution
  • Tests on Association
  • Tests on Location
  • Tests on Scale Difference
  • Other Tests
  • Tests on Normality
  • Tests on other Distributions
  • Tests on Randomness
  • Tests on Contingency Tables
  • Tests on Outliers
  • Tests in Regression Analysis
  • Tests in Variance Analysis
  • Glossary