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The Art of Statistics

Learning from Data

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The Art of Statistics

Von: David Spiegelhalter
Gesprochen von: Jonathan Davis
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Brought to you by Penguin.

Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever.

In The Art of Statistics, David Spiegelhalter guides the listener through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial.

'A statistical national treasure' Jeremy Vine, BBC Radio 2

'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

'Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world' Nature

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2019 David Spiegelhalter (P)2024 Penguin Audio
Mathematik

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Kritikerstimmen

'David Spiegelhalter is probably the greatest living statistical communicator; more than that, he's one of the great communicators in any field. This marvellous book will transform your relationship with the numbers that swirl all around us. Read it and learn.' (Tim Harford)

'Important and comprehensive' (Hannah Fry)

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this is a non technical book about how to learn from data. everyone working with data, or managing a team of data analysts / scientists would benefit greatly from it. the author is a famous statistician trying to convey knowledge, rather than gaining clients by using empty buzz words.

really good!

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Provides a thorough but non - technical and thus very entertaining overview of what can go wrong in statistical analysis land how tofix it)

surprisingly entertaining

Ein Fehler ist aufgetreten. Bitte versuche es in ein paar Minuten noch einmal.