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