Business mathematics and statistics [printed text] / Andre Francis, Author  . -  6th ed. . - London : Thomson Learning, 2004 . - vi, 666p. : ill (b & w) ; 25 cm.
ISBN : 978-1-84480-128-2
A particular problem for business managers is that most decisions often need to be taken in the light of incomplete information. The techniques described in the sixth edition of Andre Francis' best-selling Business Mathematics and Statistics enable structures to be built up to help managers alleviate this problem.

Class number:	519.5
Abstract:	The sixth edition provides a thorough grounding in basic mathematical and statisical techniques for business students, and students on a professional course such as accounting. The result is a comprehensive, user-friendly, testing-oriented guide to quantitative methods for business.
Contents note:	Preface; 1. Introduction to Business Mathematics and Statistics Part 1 Data and their presentation 2. Sampling and Data Collection; 3. Data and their Accuracy; 4. Frequency Distributions and Charts; 5. General Charts and Graphs; Examination questions Part 2 Statistical measures 6. Arithmetic Mean; 7. Median; 8. Mode and Other Measures of Location; 9. Measures of Dispersion and Skewness; 10. Standard Deviation; 11. Quantiles and the Quartile Deviation; Examination example and questions Part 3 Regression and correlation 12. Linear Functions and Graphs; 13. Regression Techniques; 14. Correlation Techniques; Examination examples and questions Part 4 Time series analysis 15. Time Series Model; 16. Time Series Trend; 17. Seasonal Variation and Forecasting; Examination exaple and questions Part 5 Index numbers 18. Index Relatives; 19. Composite Index Numbers; 20. Special Published Indices; Examination questions Part 6 Compounding, discounting and annuities 21. Interest and Depreciation; 22. Present Value and Investment Appraisal; 23. Annuities; Examination examples and questions Part 7 Business equations and graphs 24. Functions and Graphs; 25. Linear Equations; 26. Quadratic and Cubic Equations; 27. Differentiation; 28. Cost, Revenue, and Profit Functions; Examination examples and questions Part 8 Probability 29. Set Theory and Enumeration; 30. Introduction to Probability; 31. Conditional Probability and Expectation; Examination examples and questions Part 9 Further probability 32. Combinations and Permutations; 33. Binomial and Poisson Distributions; 34. Normal Distribution; Examination example and questions Part 10 Specialised business application 35. Linear Inequalities; 36. Matrices; 37. Inventory Control; 38. Network Planning and Analysis; Examination example and questions Answers to student exercises; Answers to examination questions; Appendices. 1 Compounding and Discounting Tables, 2 Random Sampling Numbers, 3 Exponential Tables. Values of e-m, 4 Standard Normal Distribution Tables; Index