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Essential Quantitative Methods (7th Edition)

For Business, Management and Finance

Author(s):
Publisher:

Red Globe Press

Pages: 456
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Sample chapter

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AVAILABLE FORMATS

Paperback - 9781352005691

25 January 2020

$73.99

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Ebook - 9781352005707

25 January 2020

$59.99

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This well-loved textbook covers all of the key quantitative methods needed to solve everyday business problems.  Presented in a highly accessible and concise manner, Les Oakshott’s clear and friendly writing style...

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This well-loved textbook covers all of the key quantitative methods needed to solve everyday business problems.  Presented in a highly accessible and concise manner, 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 suitable for MBA students and postgraduates.  

  

                                      

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  • Clear and highly accessible writing style that transforms what could be a dry subject to an engaging and interactive experience with a narrative hook that draws on students' curiosity
  • A practical, intuitive approach with an emphasis on business application in the real-world
  • Use of international case studies to illustrate the relevance of the subject to the business world
  • Much praised pedagogical features providing students with an abundance of in-text activities and helpful learning features such as the `quantitative methods in action', `did you know', reflection, key points and assignments sections to be found in each chapter
  • Concise and manageable text with excellent structure and organisation of topics with practical examples explaining the theory
  • Provides a highly useful maths refresher section to help support students with weaker maths skills
  • Illustrated with screenshots of both SPSS and Excel
  • Extensive companion website with very good student and lecturer support, thoroughly revised for the new edition

PART I: MATHEMATICAL APPLICATIONS.- 1. 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.



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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.  


   

                             

                                      

Show Less

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