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 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
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Customer Reviews

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oreillyStatistics in a Nutshell, 2nd Edition
 
3.6

(based on 5 reviews)

Ratings Distribution

  • 5 Stars

     

    (2)

  • 4 Stars

     

    (1)

  • 3 Stars

     

    (0)

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    (2)

  • 1 Stars

     

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60%

of respondents would recommend this to a friend.

Pros

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

Cons

    Best Uses

    • Novice (3)
    • Student (3)

    Reviewed by 5 customers

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    5.0

    A Valuable Member of Anyone's e-Library

    By ForceReconS4

    from Omaha, NE

    About Me Developer

    Verified Buyer

    Pros

    • Accurate
    • Well-written

    Cons

      Best Uses

      • Intermediate

      Comments about oreilly Statistics in a Nutshell, 2nd Edition:

      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

      Verified Reviewer

      Pros

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

      Cons

        Best Uses

        • Novice
        • Student

        Comments about oreilly Statistics in a Nutshell, 2nd Edition:

        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 11 customers found this review helpful)

         
        2.0

        No value in upgrading

        By Consultant

        from London, UK

        About Me Educator

        Pros

        • Easy to understand

        Cons

        • Not comprehensive enough

        Best Uses

        • Novice

        Comments about oreilly Statistics in a Nutshell, 2nd Edition:

        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

        About Me Educator

        Verified Reviewer

        Pros

        • Easy to understand
        • Helpful examples
        • High-level Overview

        Cons

        • May Be Too Brief For Some
        • Minor Errors

        Best Uses

        • Novice
        • Quick Review Of Concepts
        • Student

        Comments about oreilly Statistics in a Nutshell, 2nd Edition:

        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.

        (5 of 8 customers found this review helpful)

         
        2.0

        Some basic errors

        By Java Dude

        from Los Angeles, CA

        About Me Developer

        Pros

        • Well-written

        Cons

        • Too basic

        Best Uses

        • Student

        Comments about oreilly Statistics in a Nutshell, 2nd Edition:

        I think this is a good attempt to write an introductory statistics book, but some of the explanations leave much to be desired. For example, the first chapter reviews "types" or "levels" which I think most statisticians would refer to as "scales" of measurement. Error scores as shown as "+2" rather than as "-/+ 2". I think if the basics are not OK, then the book overall is questionable. Cronbach's alpha in Chapter 1? It should perhaps be titled "Statistics for Education Researchers" not a generic O'Reilly book (which is usually for IT readers).

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