# 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