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Statistics in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))

by Sarah Boslaugh (Author), Paul Andrew Watters (Author)

3.9 32 ratings

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Statistics in a Nutshell: A Desktop Quick Reference
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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.

ISBN-10

0596510497
ISBN-13

978-0596510497
Publisher

O'Reilly Media
Publication date

July 1, 2008
Language

English
Dimensions

6 x 1.04 x 9 inches
Print length

452 pages
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Biomedical Informatics: Computer Applications in Health Care and Biomedicine
Edward H. Shortliffe

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Editorial Reviews

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.

Product details

Publisher ‏ : ‎ O'Reilly Media (July 1, 2008)
Language ‏ : ‎ English
Paperback ‏ : ‎ 452 pages
ISBN-10 ‏ : ‎ 0596510497
ISBN-13 ‏ : ‎ 978-0596510497
Item Weight ‏ : ‎ 1.2 pounds
Dimensions ‏ : ‎ 6 x 1.04 x 9 inches

Best Sellers Rank: #2,900,811 in Books (See Top 100 in Books)
- #1,884 in Research Reference Books
- #1,961 in Reference (Books)
- #5,177 in Probability & Statistics (Books)

Customer Reviews:
3.9 32 ratings

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Customer reviews

32 global ratings

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Customers say

Customers find the content exceptionally well-written, clear, and concise. They say it's an easy read and a great basic statistics reference. Readers also mention the book is good for middle school statistics classes and a general reference guide. However, some customers feel the book has too many errors and problems.

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Writing quality Information value Errors

7 customers mention "Writing quality"7 positive0 negative

Customers find the writing quality of the book exceptionally well-written, clear, and concise. They also appreciate the clear explanations and background information. Readers mention the examples are well-chosen and not superficial.

"...This is quite possibly the best-written book of it's type, a concise introduction/review, and introductory (first-year stats) reference...." Read more

"...You can always go deeper with other sources, but this was an easy read and great refresher after being away from stats for awhile. Very useful...." Read more

"...The examples are clearer and there are better problems to work through. And guess what?..." Read more

"The book was cute, but not for anyone who has passed algebra. I was disappointed because the book was recommended by an engineering trade journal...." Read more

3 customers mention "Information value"3 positive0 negative

Customers find the book great on statistics. They say it's good for a middle school statistics class and can act as a general reference guide. Readers also mention it's an easy read and a great refresher after being away from statistics for a while.

"...go deeper with other sources, but this was an easy read and great refresher after being away from stats for awhile. Very useful...." Read more

"Good for a middle school statistics class..." Read more

"Great book on statistics..." Read more

5 customers mention "Errors"0 positive5 negative

Customers find the book has too many errors and lacks problems.

"...There are just too many errors to be useful. I found myself going back more and more to my old statistics textbook from college...." Read more

"...The one thing other people have not focused on is the lack of problems...." Read more

"Most Errors Have Been Corrected...." Read more

"This book has a lot of errors...check the website for corrections..." Read more

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Lefty Oakland Resident

Outstanding Book - Highly Underrated

Reviewed in the United States on February 3, 2010

Verified Purchase

I have read many popular statistics books and textbooks. This is quite possibly the best-written book of it's type, a concise introduction/review, and introductory (first-year stats) reference. I'm writing this because I don't think the existing reviews generally give this book enough credit. What's so good about it?

(1) The writing: very clear and concise. But not so concise so as to be difficult or "mysterious." When reading the book, there there several times when I read something, didn't quite understand the point, was certain that the author had too quickly skimmed over the topic, only to turn the page and see a clear two or three paragraph explanation of the point I was trying to understand. The level at which the material is covered is just perfect for this sort of use: not too short so as to leave something out; not too long so as to make topics too complicated. The questions at the end of chapters are "just right" too. They are well chosen, clear, not superficial, but not too difficult.

(2) The organization of topics is very well done. The flow is very natural, and lends itself to effective and efficient coverage of the material.

This may not be the best book to learn statistics from scratch (perhaps a bit too concise, but actually still not too bad), and certainly not a good choice if you are looking for coverage or a reference for advanced topics. But if you are looking for a review, and perhaps an easy to read basic statistics reference, it can't be beat. Quite possibly the best book for this purpose available.

Hope this helps...

6 people found this helpful

Helpful

EThomlinson

Great for general statistics

Reviewed in the United States on October 29, 2012

Verified Purchase

Statistics in a Nutshell is a terrific book for giving a quick and rounded view of many aspects of statistics. By covering a wide range of topics, it gives you that overall look at statistics and can act as a general reference guide. You can always go deeper with other sources, but this was an easy read and great refresher after being away from stats for awhile. Very useful. As for the sample questions or any of those aspects, I didn't try them, so I can't really comment on how well done or accurate they are.

Reviewed in the United States on May 10, 2009

Verified Purchase

I purchased this book to brush up on some of the more advanced topics in statistics. As I remembered my undergrad stats experience to be a lot of proofs, I was drawn in by the "solid understanding without the numbing complexity of most textbooks" on the back cover.

There are just too many errors to be useful. I found myself going back more and more to my old statistics textbook from college. The examples are clearer and there are better problems to work through. And guess what? You can skip over the "numbing complexity" and still get more from a textbook than you will from "Statistics in a Nutshell."

Furthermore, I don't trust this title as a reference, as I typically have to validate what I'm researching with another textbook. It's quicker and easier to go to a source you know is correct from the start.

O'Reilly really needs to step up for this sloppy book: correct the mistakes and offer those of us with the first versions a free trade-in to the corrected version.

9 people found this helpful

Helpful

J. Weber

Good for a middle school statistics class

Reviewed in the United States on April 27, 2009

Verified Purchase

The book was cute, but not for anyone who has passed algebra. I was disappointed because the book was recommended by an engineering trade journal. It is a good book for my kids though. If you do not have a technical career (perhaps business), this is a good book for you.

2 people found this helpful

Helpful

I Teach Typing

Light on problems and missing software

Reviewed in the United States on December 28, 2008

Verified Purchase

Others have described this book as excellent and I agree. The content is exceptionally well written and it should be ideal for someone with only highschool level math or the well educated math phobics out there.

The one thing other people have not focused on is the lack of problems. Each chapter does have a few problems to work but they are very basic and I don't think there are enough for the typical person to walk away from the book feeling that they can "do" basic statistics. If you want to be able to understand stats this is a great place to start but if you need to get good at doing the statistics you will need a second book.

A related point is that the authors do not focus in on how to do the statistics with any software package. There are lots of references to SAS, SPSS and Excel but no direct advice on how to do the stats with any of those tools (but there is an appendix with references). So, again plan on needing a second book to implement the stuff that is presented here. [...]

Despite those two weaknesses, the quality of the writing and the coverage of a few areas (especially data management in chapter 3) more than makes up for these shortcomings.

6 people found this helpful

Helpful

Tom Vyse

Most Errors Have Been Corrected.

Reviewed in the United States on June 19, 2009

Verified Purchase

I recently received this book and immediately went to the O'Reilly errata [...]There was an extensive list, but after going through it I found that about 80% of the errors noted on it had already been corrected despite the fact that the book I received is still marked "First Edition".

I have yet to read the book, so please take my 4 star rating with a grain of salt, but I had to include that to publish this review. That being said, the fear of excessive typos and errors should no longer deter you from considering this book.

24 people found this helpful

Helpful

Latifa

Too many errors

Reviewed in the United States on February 27, 2012

I did find this book useful at first in explaining in simple terms the fundamental concepts of stastics. The Z score was clearly explained to me and I was able to visualize it better. In these simple terms I would recommend this book. However, once I got to chapter 8 there were so many errors I could not bear to read any more. The calculations, formulas, and tables were incorrect, and figures were missing. As I am still a beginner in statistics this was a horrible experience as I was completely in doubt of everything I thought I understood. How could I maintain confidence in this book when so many important things were overlooked? Anyone who actually needs to do statistics should not use this book.
Apparently there is a revised edition, perhaps it is be better. But if you have the first edition, BEWARE! It is not worth the trouble.
Errata: [...]

2 people found this helpful

Helpful

NatMo

Enjoyed it.

Reviewed in the United States on May 10, 2013

Verified Purchase

Easy read, great for all majors!!! Stats isn't my favorait subject but this textbook certainly helped me out a lot.

Helpful

Top reviews from other countries

Wp Harris

Excellent in parts, but with major errors

Reviewed in the United Kingdom on April 5, 2013

Verified Purchase

For example, coverage of the Kruskal Wallis H test.
* Gives the wrong formula: n instead of N, and with (mean R-(n+1))/2 squared rather than (mean R-(N+1)/2)^2.
* Gives Chi Square df for H tests as 8, rather than k-1 (the example has k=3).
* Tells the reader that an H of 2.26 is enough to reject the null hypothesis with a critical Chi Square value of 15.51.

Previous to this there are a few typos, but this is just plain wrong, and is liable to seriously derail anyone attempting to use this book to learn about statistics. In comparison, while it covers less ground, I'd have to say Perry Hinton's Statistics Explained is a better book. Covers all the basic tests, gives better examples and goes into the maths a bit more while still managing to be more accessible.

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