A readily understandable exploration of how figures are badly reported or deliberately misrepresented everywhere from political arguments and business presentations to shopping offers.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
HUGH BARKER is a non-fiction author and editor; as the latter he has edited several successful popular maths books, including A Slice of Pi. He is the author of Million Dollar Maths (Atlantic Books, October 2018) and High Tech Maths (Atlantic, 2019-20). Hugh is a keen amateur mathematician, and was accepted to study maths at Cambridge University aged 16.
From the bestselling author of Million Dollar Maths, a clear and entertaining guide to help anyone make sense of special offers, fake news, dodgy reporting and politicians' promises
Figures have always been misused and distorted in pursuit of political and commercial gain, but seldom has the need for us to grasp exactly how this is done been greater or more urgent.
Politicians, economists, scientists, journalists have all been known to bend the truth and twist the facts from time to time. But surely the numbers and statistics they rely on are cold, hard objective facts that tell the real story?
Of course the truth is much murkier than that. Figures can be misinterpreted, misunderstood, misconstrued and misused in hundreds of different ways. In this entertaining book, Hugh Barker takes a look at the many ways that statistical information can be badly reported or deliberately misrepresented in all walks of life, from political arguments and business presentations to domestic concerns such as shopping offers and utility bills.
Praise for Hugh Barker's Million Dollar Maths:
'A lively crash course in the mathematics of gambling, investing, and managing. Hugh Barker makes deep ideas fun and profitable.'
William Poundstone, author of How to Predict the Unpredictable
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Paperback. Etat : Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine. N° de réf. du vendeur GOR013344149
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Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. pp. 288. N° de réf. du vendeur 369385159
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. A readily understandable exploration of how figures are badly reported or deliberately misrepresented everywhere from political arguments and briefings to business presentations and shopping offers.Praise for Hugh Barker's Million Dollar Maths:'Great fun. A clear, original and highly readable account of the curious relationship between mathematics and money.' Professor Ian Stewart - author of Significant Figures 'A lively crash course in the mathematics of gambling, investing, and managing. Hugh Barker makes deep ideas fun and profitable.' William Poundstone - author of How to Predict the Unpredictable Politicians, economists, scientists, journalists . . . all of them have been known to bend the truth and to twist the facts from time to time. But surely the numbers and statistics they rely on are cold, hard objective facts that tell the real story? Of course the truth is much murkier than that. Figures can be misinterpreted, misunderstood, misconstrued and misused in hundreds of different ways. This book takes a look at the many ways that statistical information can be badly reported or deliberately misused in all walks of life, from political arguments, to business presentations, to more local concerns such as shopping offers and utility bills. A polemical guide to how numbers are used to mislead, which is intended to help the reader through the minefield of dubious stats and lying numbers. A readily understandable exploration of how figures are badly reported or deliberately misrepresented everywhere from political arguments and business presentations to shopping offers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781472143617
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Vendeur : Better World Books: West, Reno, NV, Etats-Unis
Etat : Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 48777140-75
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. A readily understandable exploration of how figures are badly reported or deliberately misrepresented everywhere from political arguments and briefings to business presentations and shopping offers.Praise for Hugh Barker's Million Dollar Maths:'Great fun. A clear, original and highly readable account of the curious relationship between mathematics and money.' Professor Ian Stewart - author of Significant Figures'A lively crash course in the mathematics of gambling, investing, and managing. Hugh Barker makes deep ideas fun and profitable.' William Poundstone - author of How to Predict the Unpredictable Politicians, economists, scientists, journalists . . . all of them have been known to bend the truth and to twist the facts from time to time. But surely the numbers and statistics they rely on are cold, hard objective facts that tell the real story? Of course the truth is much murkier than that. Figures can be misinterpreted, misunderstood, misconstrued and misused in hundreds of different ways. This book takes a look at the many ways that statistical information can be badly reported or deliberately misused in all walks of life, from political arguments, to business presentations, to more local concerns such as shopping offers and utility bills. A polemical guide to how numbers are used to mislead, which is intended to help the reader through the minefield of dubious stats and lying numbers. N° de réf. du vendeur LU-9781472143617
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Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 288. N° de réf. du vendeur 26376693016
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