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Statistics in a Nutshell, by Sarah Boslaugh
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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
- Sales Rank: #49616 in Books
- Published on: 2012-11-25
- Released on: 2012-11-22
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.40" w x 6.00" l, 1.68 pounds
- Binding: Paperback
- 594 pages
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).
Most helpful customer reviews
8 of 8 people found the following review helpful.
Good content, horrible Kindle formatting.
By tagger9
This is a great single book to have that covers most key topics in statistics, both mathematically and intuitively. I found it understandable and well written.
My big gripe with this book is that the Kindle formatting is horrible (Kindle PC App, and Kindle iPad App). Some equations are barely readable, others are huge and take up a third of the page, just ridiculous to try to read.
I think it would be better to get this from Oreilly in pdf format. Wish Amazon would get their act together on the Kindle books.
9 of 10 people found the following review helpful.
An excellent referance book for those with past training in statistics
By Charles
For those whose last course in statistics took place some time ago and those who really did not absorb it then, and especially those who want (need to) (must) to apply this powerful tool to real problems, this is a most useful book.
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.
3 of 3 people found the following review helpful.
Broad Treatment of Stats without College Textbook Price
By Bruce Harrington
I did okay in Statistics in college, but the textbooks I had were not well suited for review. I believe my experience mirrors many. There was also a lot missing. Classes and their textbooks tend to be narrowly focused to majors or topics, e.g. Stats for the social sciences, Stats for Education, Stats for Science & Engineering, etc. My work requires looking at financial information one day, database info the next, maybe productivity the third. Statistics in a Nutshell is a great source for getting a grounding in sample selection, understanding confidence and trend analysis. I appreciated finding a textbook-quality treatment without a college textbook price.
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