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Macmillan Higher Education

Quantitative Methods (4th Edition)

for Business, Management and Finance

Author(s):
Publisher:

Palgrave

Pages: 728
Downloads:

Flyer

Sample chapter

Further Actions:

Recommend to library, View companion site

AVAILABLE FORMATS

Paperback - 9781137376558

02 May 2014

$79.99

In stock

Ebook - 9781137337948

06 June 2014

$79.99

In stock


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...

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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.

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  • Includes an optional introduction to mathematics from GCSE onwards to allow for revision and gap-filling, and so means the book can be used for a range of mathematical abilities and backgrounds
  • User-friendly and engaging non-technical writing style avoids excessive theory and jargon
  • Companion website offers market-leading depth of resources (testbank, PowerPoint slides, and assessment guide for lecturers; Students get self-test practice questions, data sets, and extra exercises
  • An abundance of examples, exercises and practice activities
  • Popular business modelling section for applying decision-making skills


  • 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
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.

The book's companion website features an array of resources to support student learning:
  • Microsoft?Excel Data sets which provide real-world data on which many questions in the book are based
  • Multiple choice questions to aid revision
  • 'Moving on...to the real world' extension material 
All of these resources can be found here: https://www.macmillanihe.com/companion/swift-quantitative-methods-4/ , or click 'View Companion site' above.
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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.

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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.

Show Less

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