How to Read Numbers - A Guide to Statistics in the News (and Knowing When to Trust Them)

Zusatztext An absolute lifesaver . . . Breezy, easy to read, funny and loaded with useful information Informationen zum Autor Tom Chivers is a science writer and author. He was awarded the Royal Statistical Society 'statistical excellence in journalism' award in 2018, and was highly commended for the same prize in 2017; he has also been shortlisted for the Association of British Science Writers award and a British Journalism Award in science writing, and won the American Psychological Society media award, all in 2017. He is the author of three books: The Rationalist's Guide to the Galaxy, How to Read Numbers (with David Chivers) and Everything Is Predictable. DAVID CHIVERS is an assistant professor of economics at Durham University. Before this post he was a lecturer at the University of Oxford and completed his PhD at the University of Manchester, funded by the ESRC. He has published in academic journals such as Review of Economic Dynamics, Economic Theory and Journal of Economic Behaviour and Organisation. His research interests involve topics relating to inequality, growth and development. Klappentext A short, practical, timely guide to the tools you need to understand the numbers we read in the news everyday - and how we often get them wrong Vorwort A short, practical, timely guide to the tools you need to understand the numbers we read in the news everyday - and how we often get them wrong Zusammenfassung A short, practical, timely guide to the tools you need to understand the numbers we read in the news everyday - and how we often get them wrong

Product details

• Authors: David Chivers, David QC Chivers, To Chivers, Tom Chivers, Chivers David, Chivers Tom
• Publisher: Weidenfeld and Nicolson
• Languages: English
• Product format: Hardback
• Released: 28.02.2021
• EAN: 9781474619967
• ISBN: 978-1-4746-1996-7
• No. of pages: 208
• Dimensions: 142 mm x 222 mm x 24 mm
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Non-fiction book > Nature, technology > Natural science; popular science, SCIENCE / Philosophy & Social Aspects, BUSINESS & ECONOMICS / Industries / Media & Communications, Mathematics, POLITICAL SCIENCE / Political Process / Media & Internet, Applied mathematics, Popular mathematics, Probability and statistics