Publisher: O'Reilly Media Released: July 2008 Pages: 480
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 handson understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easytofollow 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 overemphasize 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.

 Title:
 Statistics in a Nutshell
 By:
 Sarah Boslaugh, Dr. Paul Andrew Watters
 Publisher:
 O'Reilly Media
 Formats:

 Print
 Ebook
 Safari Books Online
 Print:
 July 2008
 Ebook:
 June 2009
 Pages:
 480
 Print ISBN:
 9780596510497
  ISBN 10:
 0596510497
 Ebook ISBN:
 9780596557577
  ISBN 10:
 0596557574


Sarah Boslaugh 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). View Sarah Boslaugh's full profile page. 
Dr. Paul Andrew Watters 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 nonorthogonal methods for feature extraction in pattern recognition, especially in biometric applications. View Dr. Paul Andrew Watters's full profile page. 
Colophon The animal on the cover of Statistics in a Nutshell is a thornback crab, also knownas a spiny spider crab (Maja squinado, Maja brachydactyla ). Found in the northeast Atlantic Ocean and the Mediterranean Sea, the thornback crab is the largestof the European crabs, with a carapace diameter of two to seven inches. It is easily identifiable by the two hornlike spikes between its eyes, and the six or so smaller spikes that extend from each side of its shell. The thornback's body is reddish, with pink, brown, or yellow markings, and its surface is also covered with small spikes, as the crab's name implies. Thornback crabs are occasionally found on the shore, but they prefer depths of 90 to 600 feet. They are solitary animals except during mating season, when they form large breeding mounds. In years when their numbers are particularly abundant, they can be a source of frustration for lobster fisherman, as they infest the lobster pots. Thornbacks are themselves fished for their delicious claw meat. Male thornbacks are effective predators; their delicatelooking claws are actually quite powerful and can open small mussels to feed on them. Their claws are also doublejointed, so although it is generally safe for a person to hold crustaceans by each side of their shells, thornbacks are able to reach over their backs to pinch the offender. Females have smaller, less flexible claws and are thus more vulnerable to attack. To defend against their predatorswhich include lobsters, wrasses, and cuttlefishmany species of spider crabs decorate their spiny shells with seaweed, sponges, or aquatic debris to better blend in against the seabed. The cover image is from Lydekker's Library of Natural History. The cover font is Adobe ITC Garamond. The text font is Linotype Birka; the heading font is Adobe Myriad Condensed; and the code font is LucasFont's TheSansMonoCondensed. 
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Customer Reviews
1/3/2013 (2 of 2 customers found this review helpful) By  from West Seneca, NY 6/14/2012 (0 of 2 customers found this review helpful)  Concise
 Easy to understand
 Helpful examples
7/19/2011 (3 of 3 customers found this review helpful) 3.0Errors Make Reading Difficult By Stats Hungry from Northbrook, IL 5/11/2011 (4 of 4 customers found this review helpful) 1.0Agree, not a Nutshell and Errors! 9/17/2010 (19 of 20 customers found this review helpful) By Epidemiology Background from Minnesota  Binomial distribution
 Too many errors
 Ttest
1/29/2010 (17 of 18 customers found this review helpful) 2.0NOT the Stats book I was hoping for By drumlin from North Carolina About Me Educator, Maker, Scientist  Not comprehensive enough
 Too many errors
4/28/2009 (20 of 21 customers found this review helpful) 1.0Not a Nutshell" book and riddled with errors" By dyoung from Undisclosed 3/5/2009 (4 of 14 customers found this review helpful) 5.0Excellent stat reference book By ueberhund from Undisclosed



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