Statistical

Ten Easy Ways to Avoid Being Misled By Numbers

By: Anthony Reuben

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Paperback | 16 January 2020 | Edition Number 1

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240 Pages

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1.8 x 12.8 x 19.8

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'Refreshingly clear and engaging' Tim Harford

'Delightful . . . full of unique insights' Prof Sir David Spiegelhalter

There's no getting away from statistics. We encounter them every day. We are all users of statistics whether we like it or not.

Do missed appointments really cost the NHS 1bn per year?

What's the difference between the mean gender pay gap and the median gender pay gap?

How can we work out if a claim that we use 42 billion single-use plastic straws per year in the UK is accurate?

What did the Vote Leave campaign's 350m bus really mean?

How can we tell if the headline 'Public pensions cost you 4,000 a year' is correct?

Does snow really cost the UK economy 1bn per day?

But how do we distinguish statistical fact from fiction? What can we do to decide whether a number, claim or news story is accurate? Without an understanding of data, we cannot truly understand what is going on in the world around us.

Written by Anthony Reuben, the BBC's first head of statistics, Statistical is an accessible and empowering guide to challenging the numbers all around us.

Industry Reviews

Fascinating . . . timely . . . a lovely humorous undercurrent to it all -- Marcus Berkmann * Daily Mail *
A refreshingly clear and engaging guide to the statistical claims all around us * Tim Harford, author of Fifty Things That Made The Modern Economy & Presenter of BBC More or Less *
Having spent his journalistic career working in a newsroom, being inundated with press releases full with dodgy statistics, Reuben has learned all the ways in which numbers can tell a misleading story. In this delightful book, full of unique insights from personal experience, he warns us of the phrases to look out for, and all the questions to ask about shabby surveys and dubious economic forecasts - there's also a great chapter on how to interpret big numbers. And he advises that we all ask the big question - is this number reasonably likely to be true? * Prof Sir David Spiegelhalter *
Statistics can clarify or confuse. That's why you need to read this book * John Humphrys *

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