If you like books and love to build cool products, we may be looking for you. Statistics. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and … Good for nonscientists.The book dealt with the spirit of applying statistics. Therefore when offered the opportunity to read this book I thought it would be useful for me to do so. Publication, ethics, review, interpretation and communication all play a vital role in how studies benefit society at large.
This book was just okay - I can't help but feel that if Spiegelhalter did one of the things he wanted to accomplish in this book it would have been great, but he tried to make this book all things to all people and it ended up being too shallow on both fronts. If you are a beginner in statistics, then, this …

And even if I don’t fully grasp the principles, I still don’t get tired of it, not even with the basic concepts. He explains clearly, and from from the most basic ideas, elements of statistics that can be obscured by a risk to apply them mathematically, and is honest about the disconcerting complexity of its underlying concepts. "— No, nor do I. And even if I don’t fully grasp the principles, I still don’t get tired of it, not even with the basic concepts. Fast forward 20 years, and I am working in a role that actually needs to know statistics, and I'm regretting my youthful intransigence.I did need this book and I wish I had read it much earlier. I read a lot of pop-maths books and enjoy them (Hannah Fry, Du Sautoy, Simon Singh, and pervious books by Spiegelhalter). So this book works from that perspective.Pretty good, but there are a few chapters where the author basically goes "I'm not explaining this very well, but I know you won't get it so let's just move on". This book had some interesting thoughts and did a pretty good job of explaining in non mathematical terms how statistics work. All this makes "This is an excellent book.

As Spiegelhalter says when discussing probability, "even statisticians of many years standing find the subject hard and non-intuitive"!Excellent. "Do you trust headlines telling you...that bacon, ham and sausages carry the same cancer risk as cigarettes? However, it was ironic for me to find the part on probability and Bayesian methods (Chapters 8–11) to be most interesting and engaging.One important take-home point from Chapters 8–11 is how prevalent the prosecutor’s fallacy is not just in everyday thinking including court decisions but also in statistical thinking as shown in the example of My favorite chapter in this book is Chapter 11 on Bayesian methods. Great examples and explanation of how we can trip up when it comes to stats and probability. ISBN: 1541618513 (ISBN13: 9781541618510) Average rating: 4.19 (800 ratings)
The most esoteric parts of pure maths were a breeze, but statistics never clicked, in large part because nobody was able to explain to me what some of the core concepts actually mean. This book does not dumb down the content it presents the latest thinking about data in a clear and accessible way. The pace is good, the examples well-chosen. I personally think it’s easier to explain if you include the math, but hey that’s just my bias. Thus the book is well suited for experts with year-long experience, college students of all fields, but especially science writers or people that want to be well equipped when it comes to discussing or questioning the newest "study x found that y prevents cancer" headline. This book is excellent for people who are scientAs somebody who is massively into statistics, and reading different interpretations on teaching statistical concepts, this book was a beautiful and welcome breath of fresh air. Without knowing an underlying logic, which we often call a theory, we never know whether one good year will be followed by another good or poor year. "A call to arms for greater societal data literacy.... Spiegelhalter's work serves as a reminder that there are passionate, self-aware statisticians who can argue eloquently that their discipline is needed now more than ever. It's well put together, well explained, well illustrated. It was too dumbed down even for me and not enough original storytelling for explaininf concepts to non math students. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Author (s): David Spiegelhalter. By clicking ‘Sign Up,’ I acknowledge that I have read and agree to Hachette Book Group’s We use cookies to enhance your visit to us. The Art of Statistics: How to Learn From Data David Spiegelhalter.


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