Description
Book SynopsisLouise 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.
Trade ReviewProvides a clear and very accessible introduction to modern quantitative methods. Beautifully produced and superbly resourced, it will appeal to business students of every mathematical persuasion. * Dr James Freeman, Manchester Business School, UK *
Written in an accessible manner with plenty of examples for practice, Swift and Piff is particularly suited to a first year course in quantitative methods in business/management where the maths/statistics ability of students is mixed. * Dr Maxwell Chipulu, Southampton Management School, UK *
A highly recommended book that clearly explains the essential quantitative methods used in business and finance. The abundance of examples, exercises and work cards will help students build confidence through practice. * Lieven De Moor, Vrije Universiteit Brussel, Belgium *
Table of ContentsPART 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.
