Description

Book Synopsis

''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 wo

Trade Review
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 *

Statistical

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RRP £8.99 – you save £1.80 (20%)

Order before 4pm today for delivery by Fri 19 Dec 2025.

A Paperback / softback by Anthony Reuben

15 in stock


    View other formats and editions of Statistical by Anthony Reuben

    Publisher: Little, Brown Book Group
    Publication Date: 16/04/2020
    ISBN13: 9781472130259, 978-1472130259
    ISBN10: 1472130251

    Description

    Book Synopsis

    ''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 wo

    Trade Review
    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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