Title: The Art of Statistics Pdf How to Learn from Data
Author: David Spiegelhalter
Published Date: 2019-09-03
Page: 320
"An important and comprehensive new book"―Hannah Fry, The New Yorker"David Spiegelhalter's The Art of Statistics shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world.... The Art of Statistics will serve students well. And it will be a boon for journalists eager to use statistics responsibly -- along with anyone who wants to approach research and its reportage with healthy skepticism."―Evelyn Lamb, Nature"The Art of Statistics is alight with Spiegelhalter's enthusiasm .... It leaves readers with a better handle on the ins and outs of data analysis, as well as a heightened awareness that, as Spiegelhalter writes, "Numbers may appear to be cold, hard facts, but ... they need to be treated with delicacy." ―Sciencenews"A book that crams in so much statistical information and nonetheless remains lucid and readable is highly improbable, and yet here it is. In an age of scientific clickbait, 'big data' and personalised medicine, this is a book that nearly everyone would benefit from reading"―Stuart Ritchie, The Spectator"This is an excellent book. Spiegelhalter is great at explaining difficult ideas...Yes, statistics can be difficult. But much less difficult if you read this book"―The Evening Standard (UK)"What David Spiegelhalter does here is provide a very thorough introductory grounding in statistics without making use of mathematical formulae. And it's remarkable. Spiegelhalter is warm and encouraging -- it's a genuinely enjoyable read.... This book should be required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force."―Popular Science"Do you trust headlines telling you...that bacon, ham and sausages carry the same cancer risk as cigarettes? No, nor do I. That is why we need a book like this that explains how such implausible nonsense arises in the first place. Written by a master of the subject...this book tells us to examine our assumptions. Bravo."―Standpoint"Spiegelhalter goes beyond debunking numerical nonsense to deliver a largely mathematics-free but often formidable education on the vocabulary and techniques of statistical science.... An admirable corrective to fake news and sloppy thinking."―Kirkus"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."―Financial Times"Like the fictional investigator Sherlock Holmes, Spiegelhalter takes readers on a trail to challenge methodology and stats thrown at us by the media and others. But where other authors have attempted this and failed, he is inventive and clever in picking the right examples that spark the reader's interest to become active on their own."―Engineering & Technology David Spiegelhalter is a British statistician and Chair of the Winton Centre for Risk and Evidence Communication in the Statistical Laboratory at the University of Cambridge. He was also elected as President of the Royal Statistical Society for 2017-18. In addition to presenting documentaries on BBC4, he has appeared on Infinite Monkey Cage, BBC Horizon, and the Life Scientific, and he has been a guest columnist in the Times, Guardian, and New Scientist. Spiegelhalter was knighted for his services to statistics in 2014. He lives in Cambridge, UK.
Vital statistics Data and statistics are core subjects in many disciplines, including economics and psychology, and are viewed very much with disinterest by those who are not concerned with them. That has much to do with the fact that statistics are all about numbers. Yet here is a book that has turned statistics into a fun subject. It rouses curiosity and enlightens us without pain. On the contrary, the book is written with exemplary clarity. Who were the kind of people that Harold Shipman, the serial murderer kill? Using statistics, the author goes on to answer questions such as whether Shipman could have been caught earlier? Does eating bacon increase our chances of getting cancer? How do we ascertain the accuracy of statistical studies? Are there tricks to be aware of, bearing in mind the oft quoted axiom – ‘There are lies, damned lies, and statistics’? This book has all the answers and you can read it with pleasure, finally understanding a dark art.
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