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FT Guide to Business Numeracy, 2nd Edition (2011)

English | 2011 | ISBN: 027374643X | 240 Pages | PDF | 4 MB

Whether you need to understand other people’s calculations to make confident business decisions, or formulate investment choices based on your own numbers, this book will give you the tools you need.

Banks and financial institutions, businesses and politicians often spin their statistics as they know they can rely on customers or constituents not to understand or check maths and formulas.

This book introduces you to the basic tools of maths, statistics and business calculations so that that you can understand the numbers, work out your own calculations and make better investing, saving and business decisions.

From the Back Cover

“To approach business and financial markets with confidence, you need a basic grasp of statistics. Whether you’re a newcomer to stats or just a bit rusty, Leo Gough’s excellent book covers the key knowledge you’ll need. Not only are his case-studies straightforward to read, they’re lively and practical too.” Dominic Picarda, CFA. Associate Editor, Investors Chronicle.
“Ever been in a meeting where the ‘experts’ try to bamboozle and mislead you with statistics, probabilities and financial jargon? This book gives you the ammunition to fight back” Ian Cornelius, Director, Cashability

In business you can never be too numerate.

The Financial Times Guide to Business Numeracy is your definitive guide to mastering numbers. Using real life examples and practical techniques, Leo Gough covers everything from basic calculations to complex decision-making techniques in order to give you the tools to be able to make informed decisions with confidence. This book shows you how to:

Get to grips with basic finance and investment concepts
Think critically about data so you spot misleading statements and inflated results
Apply estimating and forecasting techniques
Formulate investment choices based on your own analysis
Choose the best methods for presenting results in order to maximise outcomes

Interpret large quantities of data effectively and accurately