Statistics in a Nutshell, 2nd Edition
A Desktop Quick Reference
Publisher: O'Reilly Media
Final Release Date: November 2012
Pages: 594
 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 Fisherâ€™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
 Recommended for You
Customer Reviews

REVIEW SNAPSHOT®

by PowerReviews
oreillyStatistics in a Nutshell, 2nd Edition

3.7

(based on 6 reviews)

Ratings Distribution

• 5 Stars

(2)

• 4 Stars

(2)

• 3 Stars

(0)

• 2 Stars

(2)

• 1 Stars

(0)

50%

of respondents would recommend this to a friend.

Pros

• Easy to understand (4)
• Well-written (4)
• Accurate (3)

Cons

No Cons

Best Uses

• Novice (4)
• Student (4)
• Reviewer Profile:
• Developer (3)

Reviewed by 6 customers

Displaying reviews 1-6

4.0

Expains topic very well but avoids formulas

By phispi

from Austria

Pros

• Accurate
• Easy to understand
• Well-written

Cons

• Some Formulas Missing
• Too basic

Best Uses

• Novice
• Student

I wanted a book about statistics that I could use to quickly look up certain topics when I needed them.

And I got something else: When I first needed it, I wanted to make sure that I got the formula of the normal distribution right. Although the normal distribution is covered in detail including a probability table, the short formula is not mentioned (at least I didn't find it in my ebook version). I was not satisfied at all.

However, when reading the text and not using the book as formula-reference, this book is fascinating: The author precisely explains things in one sentence where I would have needed several paragraphs. It's really nice to read that book - I learned a lot, even about things I thought I knew very well.

To summarize: I don't think that this is the only book you'll need to have if you want to do statistics and it's no "reference" if you are looking for mathematical backgrounds but it helps a lot to _understand_ statistics. Is it possible to understand statistics without the complete underlying mathematics? Before reading this book I would have said "no". Now I say "maybe".

5.0

A Valuable Member of Anyone's e-Library

By ForceReconS4

from Omaha, NE

Pros

• Accurate
• Well-written

Cons

Best Uses

• Intermediate

I have enjoyed reading this to-the-point statistics reference thanks to its sound organization, excellent communication style, and the detailed examples it provides. I am using this to refresh my memory on a variety of stats topics, and I have been pleasantly surprised at the robust content of this book. It will serve as a valuable member of any analytics professional's personal e-Library. Cheers.

5.0

A good book

By Kevin

from Monterey, CA

Pros

• Accurate
• Concise
• Easy to understand
• Well-written

Cons

Best Uses

• Novice
• Student

This is a great book for those away from stats or new to stats. It is well written with a discussion of the topic and then an example of the topic applied. I like that the author covers mathematical symbols such as alpha, beta, theta, sigma, mean, etc.

(2 of 13 customers found this review helpful)

2.0

By Consultant

from London, UK

Pros

• Easy to understand

Cons

• Not comprehensive enough

Best Uses

• Novice

I like this book, I purchased the first edition for a class, and it has been very helpful in my consulting practice. But I can't see much value in the 2nd edition; my view is that a new edition should contain something new, and not largely just correct errata. What about data mining? Analytics? So many new topics that could be included as new chapters but are sadly missing.

(4 of 5 customers found this review helpful)

4.0

Excellent refresher & overview

By DrDan

from SE Pennsylvania

Pros

• Easy to understand
• High-level Overview

Cons

• May Be Too Brief For Some
• Minor Errors

Best Uses

• Novice
• Quick Review Of Concepts
• Student

I bought this e-book (download) 2 years ago and have to disagree with the reviewer above. I use it to quickly review the method I'm intending to use. It's useful enough that I keep it on my desktop.

While it may be "simple", that allows the reader to find the material fast. It's a Nutshell book, not a textbook. As for errors, yes, there are some, but I have an errata sheet from O'Reilly which hits the major ones. Besides, it's easy to find them anyway.

My primary disappointments were: (1) too-skimpy coverage of cluster analysis. Two more pages would have *really* helped. K-means clustering is actively deceptive when you guess K wrong, and (2) In the medical section, nothing about receiver-operator curves (used in radiology).

If you want a "reminder" book, this works well ("oh, that's how that technique works" or "OK, now I'll go look up more details in the textbook"). If you want all the info at your fingertips, this book is not for you.

(6 of 10 customers found this review helpful)

2.0

Some basic errors

By Java Dude

from Los Angeles, CA

Pros

• Well-written

Cons

• Too basic

Best Uses

• Student