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Statistics in a Nutshell: A Desktop Quick Reference

Statistics in a Nutshell: A Desktop Quick Reference

Statistics in a Nutshell: A Desktop Quick Reference
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Statistics in a Nutshell: A Desktop Quick Reference Paperback - 2012

by Boslaugh, Sarah

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O'Reilly Media, 2012-12-25. 2nd ed. paperback. Very Good. 6x1x8. Book is in very nice condition, text is unmarked and pages are tight.
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Details

  • Title Statistics in a Nutshell: A Desktop Quick Reference
  • Author Boslaugh, Sarah
  • Binding Paperback
  • Edition 2nd ed
  • Condition Used - Very good
  • Pages 591
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media, n
  • Publication date 2012-12-25
  • Illustrated Yes
  • Features Bibliography, Glossary, Illustrated, Index, Price on Product - Canadian, Table of Contents
  • Bookseller's Inventory # 64501
  • ISBN 9781449316822 / 1449316824
  • Weight 1.75 lbs (0.79 kg)
  • Dimensions 9 x 6 x 1.3 in (22.86 x 15.24 x 3.30 cm)
  • Size 6x1x8
  • Category Mathematics
  • Library of Congress subjects Statistics
  • Dewey Decimal Code 519.5
  • Quantity available 1

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Reader reviews for Statistics in a Nutshell: A Desktop Quick Reference

From the publisher

Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts.

Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book.

  • Learn basic concepts of measurement and probability theory, data management, and research design
  • Discover basic statistical procedures, including correlation, the t-test, the chi-square and Fisher s exact tests, and techniques for analyzing nonparametric data
  • Learn advanced techniques based on the general linear model, including ANOVA, ANCOVA, multiple linear regression, and logistic regression
  • Use and interpret statistics for business and quality improvement, medical and public health, and education and psychology
  • Communicate with statistics and critique statistical information presented by others

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).

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