- Series: In a Nutshell
- Paperback: 594 pages
- Publisher: O'Reilly Media; 2 edition (November 25, 2012)
- Language: English
- ISBN-10: 1449316824
- ISBN-13: 978-1449316822
- Product Dimensions: 6 x 1.4 x 9 inches
- Shipping Weight: 2.2 pounds (View shipping rates and policies)
- Average Customer Review: 27 customer reviews
- Amazon Best Sellers Rank: #51,055 in Books (See Top 100 in Books)
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Statistics in a Nutshell: A Desktop Quick Reference 2nd Edition
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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).
Top customer reviews
I don't see it as as an introduction to statistics but rather as a tool for those who know there is a procedure that will really help them solve a present problem, but can't remember what it was nor exactly how to use it.
I had an earlier addition that I kept checked out from the library for months as I worked through it, and finally decided to go ahead and get my own copy. In comparing editions, I find that this edition is actually a little better organized, and the approach slightly more systematic, though the changes are all relatively small.
Most recent customer reviews
There are a lot (for a textbook wannabe) of really stupid errors, such as characterizing...Read more