Naked Statistics: Stripping the Dread from the Data - Charles Wheelan

Naked Statistics: Stripping the Dread from the Data

By Charles Wheelan

  • Release Date: 2013-01-07
  • Genre: Mathematics
  • Book: Naked Statistics: Stripping the Dread from the Data
Naked Statistics: Stripping the Dread from the Data book review score

3.5 Score: 3.5 (From 109 Ratings)

Naked Statistics: Stripping the Dread from the Data Book Review Score: ★★★★★ 5/5 stars

Naked Statistics: Stripping the Dread from the Data is a great book. Our editors rated it with a top 5 stars.

User reviews about the book

  • Informative but could’ve gone further

    By Mncm27
    The book was very informative in trying to make statistics make sense to those of us who struggle with them. It did a great job explaining, in layman’s terms, how the math relates to the topic being analyzed and how that can benefit or hurt us. I was hoping for a little more of the math itself since I purchased it to try and get a better grasp on that. It barely touches on some of it while conceding that’s not why the author wrote the book. Either way, it does help explain much of the concepts behind all the research studies we see and hear in the news and social media. Worth the read.
  • Great book

    By venkat9
    This book demystifies statistics in a way that no other book does. The author has a way of explaining things that is remarkable.
  • Clearly explains the topic

    By chainshade
    As someone who uses a lot of advanced statistical methods in my profession, I enjoy reading books like this, as they often help me to explain what I am doing to non-scientists. The author is also not a statistician, and that is a good thing, as he approaches the topic from a very practical view-point. His explanations are clear and concise, and technically accurate. It is the best book, by far, for the curious layperson seeking to understand statistics and its use in life. A few topics were omitted,which puzzle me. Analysis of variance was not covered, which is a shame, especially since it could dove-tail nicely into the discussion around multi-linear regression. More serious was the complete lack of any discussion on Bayesian statistics. As an unabashed Bayesian , I find this to be most unfortunate. There is a huge resurgence in Bayesian methods now, and all serious stats research is Bayesian-based. More importantly, to discuss Bayesian, one must discuss frequentist statistics, including the limitations of the p-value (contrary to what the author would like you to believe, the p-value is not without some serious faults). Here's hoping the author revises the book and includes these important topics, which would improve an already terrific book.
  • Don't be fooled!!!

    By CoachMetz
    This book is pretty fascinating... All the math you learned in school was for a intelligently sift through the bovine scatology, and understand what statistics mean. Great read!

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