Quantitative methods for business decisions [printed text] / Jon Curwin, Author ; Roger Slater, Author  . -  6th ed. . - London : South-Western Cengage Learning, 2008 . - xix, 790 p. : ill (col) ; 25 cm.
ISBN : 978-1-84480-574-7
Now entering its 6th edition Quantitative Methods for Business Decisions is regarded as one of the clearest, most accurate and comprehensive European textbooks in its field.

Class number:	507
Abstract:	Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and public administration, to appeal to students across the business spectrum. Using a rigorous exercise-based approach this title provides in-depth guidance on how to apply the most widely-used statistical methods in business. The extensive coverage provided makes this text suitable for the teaching of quantitative methods across all business disciplines at undergraduate level and MBA courses.
Contents note:	Preface; List of mini-cases; About the companion website; Walk throuh tour Part 1 Quantitative Information Chapter 1 The Quantitative Approach; Chapter 2 Managing Data; Chapter 3 Survey Methods; Chapter 4 Presentation of Data Part 2 Descriptive Statistics Chapter 5 Measures of location; Chapter 6 Measures of Dispersion; Chapter 7 Index Numbers Part 3 Measuring Uncertainty Chapter 8 Probability; Chapter 9 Discrete Probability Distributions; Chapter 10 The Normal Distribution Part 4 Statistical Interference Chapter 11 Confidence Intervals; Chapter 12 Significance Testing; Chapter 13 Non-parametric Tests Part 5 Relating Variables and Predicting Outcomes Chapter 14 Correlation; Chapter 15 Regression; Chapter 16 Multiple Regression and Correlation; Chapter 17 Time Series Part 6 Modelling Chapter 18 Mathematical Background; Chapter 19 The Time Value Of Money; Chapter 20 Linear Programming; Chapter 21 Networks; Chapter 22 Modelling Stock Control and Queues; Chapter 23 Simulation; Chapter 24 Game Theory Appendices A Cumulative binomial probabilities; B Cumulative Poisson probabilities; C Areas in the right-hand tail of the Normal distribution; D Student's t critical point; E x2 critical values; F Present value factors; G Mann-Whitney test statistic; I Runs test; J Durbin-Watson statistic; K Random number table Answer section; Glossary; Index; Formula Sheet