includes index (p. 669- p. 674).

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 Part 2. Statistical measures 6. Arithmetic Mean 7. Median 8. Mode and Other Measures of Location9. Measures of Dispersion and Skewness 10. Standard Deviation11. Quantiles and the Quartile Deviation Part 3. Regression and correlation 12. Linear Functions and Graphs 13. Regression Techniques 14. Correlation Techniques Part 4. Time series analysis15. Time Series Model 16. Time Series Trend 17. Seasonal Variation and Forecasting Part 5 Index numbers 18. Index Relatives 19. Composite Index Numbers 20. Special Published Indices Part 6. Compounding, discounting and annuities 21. Interest and Depreciation22. Present Value and Investment Appraisal23. Annuities Part 7 Business equations and graphs24. Functions and Graphs 25. Linear Equations 26. Quadratic and Cubic Equations 27. Differentiation and Integration 28. Cost, Revenue and Profit Functions Examination examples and questions Part 8 Probability29. Set Theory and Enumeration 30. Introduction to Probability31. Conditional Probability and Expectation Part 9. Further probability 32. Combinations and Permutations 33. Binomial and Poisson Distributions 34. Normal Distribution Part 10 Specialised business applications 35. Linear Inequalities 36. Matrices 37. Inventory Control38. Network Planning and Analysis

This seventh edition of Business Mathematics and Statistics provides a thorough grounding in basic mathematical and statistical techniques, helping students to learn how to make decisions when presented with incomplete information. Comprehensive coverage of statistical methods, management mathematics and probability and extensive examples and questions make this essential reading for students on business and accounting courses and also students studying economics

eng.