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Full Description
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 examples
Accompanying 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.
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.
