Quantitative methods for business decisions [printed text] / Jon Curwin, Author ; Roger Slater, Author  . -  5th ed. . - London : Thomson Learning, 2002 . - xiii, 682 p : ill (col) ; 25 cm.
ISBN : 978-1-86152-531-4
This comprehensive textbook has 25 chapters divided into 7 study areas. Each chapter focuses on a selection of techniques illustrated with examples from business, finance, marketing, economics, accounting and public administration.

Class number:	507
Abstract:	This comprehensive text, now in its fifth edition, teaches the reader how to apply the most widely used statistical methods in business. The book gives you the how, what, where, when and why of numbers and statistics. The book has twenty-five chapters divided into seven study areas. Each chapter focuses on a selection of techniques, illustrated with examples from business, marketing, economics, accounting, finance, and public administration. This is viewed as the clearest, most accurate and comprehensive book available in the field of quantitative methods. Now in line with the latest Excel developments, the book should cover the syllabus for a quantitative methods course on a business related degree course, and serve as a core text for professional examinations, and MBA courses.
Contents note:	Part 1 - Quantitative Information Introduction; The questionnaire; The coding sheet; Visit the website; Quick start: Quantitative information; Chapter 1 The quantitative approach; Chapter 2 Managing Data; Chapter 3 Survey methods; Chapter 4 Presentation of data Part 2 - Descriptive Statistics Introduction; Quick start: Descriptive statistics; Chapter 5 Measures of location; Chapter 6 Measures of dispersion; Chapter 7 Index numbers Part 3 - Measuring uncertainty Introduction; Organization of Part 3; Quick start: Measuring uncertainty; Chapter 8 Probability; Chapter 9 Discrete probability distributions; Chapter 10 The Normal distribution Part 4 - Statistical inference Introduction; Quick start: Inference quick start; Chapter 11 Confidence intervals; Chapter 12 Significance testing; Chapter 13 Non-parametric tests Part 5 - Relating variables and predicting outcomes Quick start: Relating variables and predicting outcomes; Chapter 14 Time series; Chapter 15 Correlation; Chapter 16 Regression; Chapter 17 Multiple regression and correlation Part 6 - Modelling Introduction; Chapter 18 The time value of money; Chapter 19 Linear programming; Chapter 20 Networks; Chapter 21 Modelling stock control and queues; Chapter 22 Simulation Part 7 - Mathematical background Introduction; Chapter 23 Mathematical relationships; Chapter 24 Matrices; Chapter 25 Use of calculus 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 Answers; Index.