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Quantitative Methods for Business and Management

Quantitative Methods for Business and Management

Stuart Wall | Chris Mitchell | Claire Coday

(2014)

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Book Details

Abstract

This engaging introduction shows how quantitative techniques can be used to analyse the internal and external environments in which businesses and organisations operate, with a contemporary focus on business start-up, enterprise and entrepreneurial skills.

 

Each chapter:

 

  • Applies a range of quantitative techniques to business decisions at all stages of the product life cycle
  • Focuses upon a particular business sector or sectors, including IT, retail sales, financial services, tourism, biotechnology, pharmaceuticals, leisure, entertainment and other sectors of a modern economy
  • Explores numerous real world applications, providing many opportunities for student interaction with the topic

 

Quantitative Methods for Business and Management is perfect for any business and management undergraduate taking a first course in quantitative methods or its equivalent. It will also be ideal for those seeking to develop quantitative skills in a range of taught master’s degrees.

 

Stuart Wall is Professor of Business and Economics at the Ashcroft International

Business School and teaches quantitative methods on a wide range of undergraduate, professional and postgraduate courses. He has extensive experience in applying these techniques, having acted as a consultant to local, regional and multinational companies, and having run his own business for many years.

 

Chris Mitchell has taught quantitative methods to a wide range of students at

undergraduate level, both in Business and in Science and Technology faculties. He is himself an entrepreneur, having launched his own successful sound-recognition software company, winning a business fellowship with Cisco Systems in the UK to develop his ideas further.

 

 

Please note that the product you are purchasing does not include MyMathLab.

 

MyMathLab

 

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If it has, it will be on the inside back cover of the book.

3. If you have a course ID but no access code, you can benefit from MyMathLab at a reduced price by purchasing a pack containing a copy of the book and an access code for MyMathLab (ISBN:9781292064369)

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