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Quantitative Methods is a comprehensive guide to the techniques any student of business or finance is likely to need. The authors' coaching, learning-by-doing approach coupled with the text's clear structural outline makes this title ideal for those less confident with maths. With Swift, the acquisition of essential mathematical skills is achievable and even enjoyable.
Louise Swift taught Quantitative Methods to students of business, management and finance for over ten years at the University of East Anglia, UK, where she now works as a statistician.
Sally Piff is the Quantitative Methods tutor in the School of Management, University of East Anglia, UK.
Table of Contents
PART I: ESSENTIAL MATHS 1. Numbers and Symbols 2. Simplifying Expressions 3. Solving Problems 4. Modelling Using Straight Lines PART II: MORE MATHS 5. Some Special Equations 6. Modelling Using Curves 7. Rates of Change PART III: DESCRIBING DATA 8. Pictures of Data 9. Summarising Data PART IV: PROBABILITY 10. Measuring Uncertainty 11. Numerical Outcomes 12. Continuous Numerical Outcomes 13. Some More Probability Distributions PART V: STATISTICS 14. Estimation 15. Testing Hypotheses 16. Correlation and Regression 17. Comparing Two Populations 18. Nonparametric methods 19. Categorical Data 20. Forecasting 21. Statistics in Practice PART VI: BUSINESS MODELLING 22. Linear Programming Models 23. Planning Projects 24. Models for Inventory Control 25. Time and Money 26. Decision Making 27. Simulating Reality 28. Controlling Quality PART VII: STATISTICAL TABLES 29. Cumulative Binomial Probabilities 30. Cumulative Standard Normal Probabilities 31. Percentage Points of the Standard Normal Distribution 32. Random Digits 33. Percentage Points of the t Distribution 34. Percentage Points of the x2 Distribution