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Million Dollar Maths: The Secret Maths of Becoming Rich (or Poor)

Million Dollar Maths: The Secret Maths of Becoming Rich (or Poor) (Hardback, Main)

By Barker, Hugh

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How can you turn $1000 into $1 million? What is the best way to beat the lottery odds? When is the best time to take out a loan? How did one group of gamblers bet on hole-in-ones to win GBP500,000? How can maths help you set up a successful tech start-up? What about proving the G...oldbach Conjecture for $1 million? Million Dollar Maths is a fun but invaluable guide to the straightforward and outlandish mathematical strategies that can make you rich. Learn the techniques for growing your everyday finances, as well as the common mistakes to avoid. Discover the skills, both fair and foul, that offer an additional edge when investing and gambling. And discover why we often misunderstand probability and statistics - with troubling financial costs. From making the most of special offers to utilising the power of exponential growth in your investments; from the art of card counting, to inventing the next Google, Million Dollar Maths is the quintessential primer to the myriad ways maths and finance intersect.
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ISBN 9781786493224
Released AU 7 Jan 2019
Publisher Atlantic Books
Format Hardback, Main
Alternate Format(s) View All (2 other possible title(s) available)
24 In stock at publisher; ships 6-12 working days

Full details for this title

ISBN-13 9781786493224
Stock Available
Status In stock at publisher; ships 6-12 working days
Publisher Atlantic Books
Imprint Atlantic Books
Released 7 Jan 2019
Publication Country United Kingdom United Kingdom
Format Hardback, Main
Edition Main
Author(s) By Barker, Hugh
Category Economics
Popular Science
Personal Finance
Number of Pages 320
Dimensions Width: 140mm
Height: 205mm
Spine: 28mm
Dewey Code 332.0151
Weight 455g
Interest Age 16+ years
Reading Age 16+ years
Library of Congress Finance - Mathematical models, Mathematics
NBS Text Popular Science
ONIX Text College/higher education;Professional and scholarly;General/trade