Author(s): Sarah Boslaugh; Paul Andrew Watters

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.


About the Author

Sarah Boslaugh holds a PhD in Research and Evaluation from the City University of New York
and have been working as a statistical analyst for 15 years, in a variety of professional
settings, including the New York City Board of Education, the Institutional Research Office
of the City University of New York, Montefiore Medical Center, the Virginia Department of
Social Services, Magellan Health Services, Washington University School of Medicine, and
BJC HealthCare. She has taught statistics in several different contexts and currently teaches
Intermediate Statistics at Washington University Medical School. She has published two previous
books: An Intermediate Guide to SPSS Programming: Using Syntax for Data Management (SAGE
Publications, 2004) and Secondary Data Sources for Public Health (forthcoming from Cambridge
U. Press, 2007) and am currently editing the Encyclopedia of Epidemiology for SAGE Publications
(forthcoming, 2007).

Paul A. Watters PhD CITP, is Associate Professor in the School of Information and Mathematical
Sciences and Centre for Informatics and Applied Optimization (CIAO) at the University of Ballarat.
Until recently, he was Head of Data Services at the Medical Research Council's National Survey of
Health and Development, which is the oldest of the British birth cohort studies, and an honorary
senior research fellow at University College London. He uses multivariate statistics to develop
orthogonal and non-orthogonal methods for feature extraction in pattern recognition, especially
in biometric applications.

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