Introductory material:
- Different ways to think about statistics
- Basic concepts of measurement and probability theory
- Data management for statistical analysis
- Research design and experimental design
- How to critique statistics presented by others
- Basic concepts of inferential statistics
- The concept of correlation, when it is and is not an appropriate measure of association
- Dichotomous and categorical data
- The distinction between parametric and nonparametric statistics
- The General Linear Model
- Analysis of Variance (ANOVA) and MANOVA
- Multiple linear regression
- Business and quality improvement statistics
- Medical and public health statistics
- Educational and psychological statistics
Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests.
With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.


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Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests.(If you want more knowledge about Statistics you can look at kswchina,there are some knowledge about it but chinaese.It's a good learning Chinese place too! )
You can learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. A good book!
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