Organized into four distinct sections, Statistics in a Nutshell offers you:

* 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 inferential statistics: 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


* Advanced inferential techniques: The General Linear Model
* Analysis of Variance (ANOVA) and MANOVA
* Multiple linear regression


* Specialized techniques: 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.