Quantitative Methods
Bloomsbury Academic (Verlag)
978-1-137-37655-8 (ISBN)
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.
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.
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.
Erscheint lt. Verlag | 6.6.2014 |
---|---|
Verlagsort | London |
Sprache | englisch |
Maße | 216 x 276 mm |
Gewicht | 1554 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik |
Wirtschaft ► Allgemeines / Lexika | |
Wirtschaft ► Betriebswirtschaft / Management | |
ISBN-10 | 1-137-37655-4 / 1137376554 |
ISBN-13 | 978-1-137-37655-8 / 9781137376558 |
Zustand | Neuware |
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