Need to learn statistics as part of your job, or want some help
passing a statistics course? *Statistics in a Nutshell* is a
clear and concise introduction and reference that's perfect for
anyone with no previous background in the subject. This book gives
you a solid understanding of statistics without being too simple,
yet without the numbing complexity of most college texts.
You get a firm grasp of the fundamentals and a hands-on
understanding of how to apply them before moving on to the more
advanced material that follows. Each chapter presents you with
easy-to-follow descriptions illustrated by graphics, formulas, and
plenty of solved examples. Before you know it, you'll learn to
apply statistical reasoning and statistical techniques, from basic
concepts of probability and hypothesis testing to multivariate
analysis.
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.

- Statistics in a Nutshell
- Preface
- 1. Basic Concepts of Measurement
- 2. Probability
- 3. Data Management
- 4. Descriptive Statistics and Graphics
- 5. Research Design
- 6. Critiquing Statistics Presented by Others
- 7. Inferential Statistics
- 8. Thet-Test
- 9. The Correlation Coefficient
- 10. Categorical Data
- 11. Nonparametric Statistics
- 12. Introduction to the General Linear Model
- 13. Extensions of Analysis of Variance
- 14. Multiple Linear Regression
- 15. Other Types of Regression
- 16. Other Statistical Techniques
- 17. Business and Quality Improvement Statistics
- 18. Medical and Epidemiological Statistics
- 19. Educational and Psychological Statistics
- A. Review of Basic Mathematics
- B. Introduction to Statistical Packages
- C. References
- Index
- About the Authors
- Colophon
- Copyright