For more advanced applications may be too simple...The Art of Statistics is a book about the basics of statistics and how to draw information and conclusions from data. It’s also a good substitute for the standard introductory statistics course which is often too focused on memorizing equations for statistical tests to be applied to data that has already been extracted. If they couThis book had some interesting thoughts and did a pretty good job of explaining in non mathematical terms how statistics work.

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Some parts may seem painful but overall it was very informative.This volume is a worthy, pacy introduction to statistics. The Best Way to Learn to Statistics for Data Science. When I read books like this I’m reminded of how the media, the government and I guess everybody else distorts what the statistics are really saying. Buy this book. 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. It goes over the basics of statistics and the mistakes one might make, all in an easy, straightforward and amusing narration. The maths is howeSir David Spiegelhalter is a noted Professor and internationally recognized authority on statistics and risk - part of his remit is "the public understanding of risk". by Basic Books Be the first to ask a question about The Art of Statistics

The use of Excel is widespread in the industry. can’t find anywhere else. It is always reassuring when a reviewer does such a detailed job. These concepts are more useful and accessible to the general population than, say, the formula for determining the p-value of a test.I can't remember where I read reviews of this being very good, but they were right. 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.

Great examples and explanation of how we can trip up when it comes to stats and probability. In less than four hundred pages it summarizes all the important aspects of statistics, uncertainty, randomness, variability, and all those intangible things that rule our lives and shape our beliefs. This book attempts to explain the basis of statistical theory and equip the reader to understand concepts such as confidence intervals, legally permissible statistical evidence, and some of the deceptions used by journalists (and academics) to "big up" their findings. Basic, $28 (448p) ISBN 978-1-5416-1851-0 .
I read a lot of pop-maths books and enjoy them (Hannah Fry, Du Sautoy, Simon Singh, and pervious books by Spiegelhalter).

Entertaining and insightful, even (or especially) for someone who has just finished their degree in statistics and is looking to make it their career. Concepts like the 6 principles of P values, types of uncertainty, bootstrapping as an equivalent of sampling with replacement, bagging as a bootstrapping method using multiple decision trees and a consensus prediction are explained very well. Spiegelhalter is an engaging writer; he peppers his explanations of core concepts with pleasing anecdotes, exemplifying the principles of honest, yet exciting storytelling from data that he propounds. 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.

Welcome back. I even gave this feedback to the author. It starts of lightly by exploring different methods of reviewing statistical data, and visualising and summarising their core messages using graphs and tables respectively, and then progresses on to more difficult to grasp concepts such as algorithms and probability theory. I’m beginning to believe we should just let real statisticians tell us what the data mean and what they don’t mean .


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