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Essential Quantitative Methods (6th Edition)

For Business, Management and Finance

Author(s):
Publisher:

Red Globe Press

Pages: 472
Downloads:

Flyer

Sample chapter

Further Actions:

Recommend to library, View companion site

AVAILABLE FORMATS

Paperback - 9781137518552

03 February 2016

$73.99

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Ebook - 9781137518569

16 September 2017

$73.99

In stock

All prices are shown excluding Tax

This concise and accessible textbook covers all of the key quantitative methods needed to solve everyday business problems.  Les Oakshott’s clear and friendly writing style guides students from basic statistics, through...

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This concise and accessible textbook covers all of the key quantitative methods needed to solve everyday business problems.  Les Oakshott’s clear and friendly writing style guides students from basic statistics, through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management.  Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book’s coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful.   An ideal textbook for undergraduate students of business, management and finance, it is also widely used by MBA students and postgraduates.

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  • An optional maths revision section to bring all students up to speed
  • 'Did You Know' boxes that provide fun facts about quantitative methods
  • Practice questions at the end of every chapter
  • Extensive free online resources, including lecturer slides, a full solutions manual to all the practice questions in the book, bonus case studies, a huge bank of multiple choice questions for students, and more




  • 'Quantitative Methods in Action' case studies, which open each chapter, are all new for this edition, and cover contemporary topics such as the ebola epidemic, soccer World Cup, and London's vast new railway project Cross-rail
  • Fully updated coverage of the latest statistical software, Excel 2014 and SPSS 22, illustrated with screenshots
  • A new chapter 'Managing stock levels: materials management and inventory control'




PART I: MATHEMATICAL APPLICATIONS Revision Mathematics
2. Keeping up with Change: Index Numbers
PART II: COLLECTING AND INTERPRETING DATA 3. Collecting Data: Surveys and Samples
4. Finding Patterns in Data: Charts and Tables
5. Making Sense of Data: Averages and Measures of Spread
PART III: PROBABILITY& STATISTICS 6. Taking a Chance: Probability
7. The Shape of Data: Probability Distributions
8. Interpreting with Confidence: Analysis of Sample Data
9. Checking Ideas: Testing a Hypothesis
10. Cause and Effect: Correlation and Regression
PART IV: DECISION MAKING TECHNIQUES 11. How to make Good Decisions
12. Choosing wisely: Investment Appraisal
13. Forecasting: Time Series Analysis
14. Making the Most of Things: Linear Programming
15. Planning Large Projects: Network Analysis
16. Managing Stock Levels: Materials Management and Inventory Control.

The book's companion website features an array of resources to support student learning:
  • Bonus chapter titled 'Taking Account of Randomness'
  • Data sets which accompany the textbook
  • Interactive quizzes
  • Multiple choice questions
  • Review questions to check comprehension of each chapter
  • Solutions manual containing answers to all end-of-chapter questions
  • Statistical and mathematical formulae
All of these resources can be found here: https://www.macmillanihe.com/companion/Oakshott-Essential-Quantitative-Methods-6e/ , or click 'View companion site' above.
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Les Oakshott is a former Associate Fellow of Warwick Business School, UK. He has worked in industry and education and has wide experience of applying teaching quantitative methods in a business context.

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Les Oakshott is a former Associate Fellow of Warwick Business School, UK. He has worked in industry and education and has wide experience of applying teaching quantitative methods in a business context.

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