The Art of Statistics - David Spiegelhalter

The Art of Statistics

Learning from Data

(Autor)

Jonathan Davis (Sprecher)

Audio-Download
2024 | Unabridged edition
Pelican (Verlag)
978-0-241-73353-0 (ISBN)
16,15 inkl. MwSt
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 reader 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

© David Spiegelhalter 2019 (P) Penguin Audio 2024

Sir David John 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. Spiegelhalter is one of the most cited and influential researchers in his field, and was elected as President of the Royal Statistical Society for 2017-18.

Erscheinungsdatum
Verlagsort London
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Statistik
Sozialwissenschaften Soziologie Empirische Sozialforschung
Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 0-241-73353-7 / 0241733537
ISBN-13 978-0-241-73353-0 / 9780241733530
Zustand Neuware
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