Numbers guide : the essentials of business numeracy Cover Image

Book

Numbers guide : the essentials of business numeracy / Richard Stutely.

Stutely, Richard, 1955- (Author). Economist Newspaper Limited. (Added Author).

Summary:

"The Economist: Numbers Guide is invaluable for everyone who has to work with numbers, which in today's commercially focused world means most managers. In addition to general advice on basic numeracy, the guide points out common errors and explains the recognized techniques for solving financial problems, analyzing information of any kind, forecasting and effective decision making. Over 100 charts, graphs, tables and feature boxes highlight key points, and great emphasis is put on the all-important aspect of how you present and communicate numerical information effectively and honestly. At the back of the book is an extensive A-Z dictionary of terms covering everything from amortization to zero-sum game. Whatever your business, whatever your management role, for anyone who needs a good head for figures The Economist Numbers Guide will help you achieve your goals." - amazon.ca

Record details

ISBN: 9781610393959 (pbk.)
ISBN: 1610393953 (pbk.)
Physical Description: 262 p. : ill. ; 23 cm.
Edition: 6th ed. / Richard Stutely.
Publisher: New York : PublicAffairs, c2014.

Content descriptions

General Note:

"The Economist."

Includes index.

Formatted Contents Note:

1. Key concepts -- Summary -- Ways of looking at data -- Fractions, percentages and proportions -- Index numbers -- Notation -- Probability -- Counting techniques -- The numerical base -- IP addresses -- Encryption -- 2. Finance and investment -- Summary -- Interest -- Annuities -- Investment analysis -- Inflation -- Interest rate problems in disguise -- Exchange rates -- 3. Descriptive measures for interpretation and analysis -- Summary -- Distributions -- Normal distributions -- 4. Tables and charts -- Summary -- Tables -- Charts -- 5. Forecasting techniques -- Summary -- Time series -- Trends -- Seasonal adjustment -- Cycles -- Residuals -- Cause and effect -- Identifying relationships with regression analysis -- Forecast monitoring and review -- 6. Sampling and hypothesis testing -- Summary -- Estimating statistics and parameters -- Confidence -- Other summary measures -- Non-parametric methods -- Hypothesis testing -- 7. Incorporating judgments into decisions -- Summary -- Uncertainty and risk -- Decision trees -- Perfect information -- The expected value of sample information -- Making the final decision -- 8. Decision-making in action -- Summary -- Game strategy -- Queueing -- Stock control -- Markov chains: what happens next? -- Project management -- Simulation -- 9. Linear programming and networks -- Summary -- Identifying the optimal solution -- Traps and tricks -- Multiple objectives -- Barrier/internal point method -- Networks.