Quantitative Methods

The new edition of this highly successful and popular textbook is a comprehensive, easy-to-follow guide to using and interpreting all the quantitative techniques that students will encounter in their later business and financial careers; from fundamental principles through to more advanced applications. Topics are explained in a clear, friendly step-by-step style, accompanied by examples, exercises and activities, making the text ideal for self-tuition or for the student with no experience or confidence in working with numbers. This highly successful learning-by-doing approach, coupled with the book's clear structure, will enable even the most maths-phobic student to understand these essential mathematical skills. Comprehensive in both its scope of coverage and the range of abilities it caters for, this remains a core textbook for undergraduate students of business, management and finance, for whom Quantitative Methods modules will be a key component. It will also appeal to those on related MBA and postgraduate courses.New to this Edition:- Business Modelling 'Moving on...' feature with integrated web and book activities to promote student engagement with the application of mathematical techniques in real-life workplaces- Extensive revamp of two Statistics chapters based on student and lecturer feedback- Crucial updated practical guides to using Excel and SPSS- Integrated companion website resources helps relate theory to real world examplesAccompanying online resources for this title can be found at bloomsburyonlineresources.com/quantitative-methods-4e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

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.