Description

Book Synopsis
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.

Trade Review
An excellent introduction to quantitative methods, written in an accessible and comprehensive way to support students' fast and efficient learning ... an absolute essential. * Ioannis Kyriakou, Cass Business School, City University of London, UK *
With plenty of applications to real-life business and reflections on methodology, as well as vivid illustrations, this is an excellent introductory textbook to inspire and motivate students. * Mofei Jia, Xi'an Jiaotong-Liverpool University, China *
A compact yet thorough introduction to the quantitative methods relevant to different areas of business ... Completely up to date, the book reflects the latest trends, issues and practices. * Sascha Mölls, University of Marburg, Germany *
Provides a no-nonsense way of learning the quantitative techniques necessary for both students and practitioners ... an invaluable resource * Simeon Coleman, Loughborough University, UK *

Table of Contents
-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.

Essential Quantitative Methods

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    £56.99

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    Order before 4pm today for delivery by Wed 8 Jul 2026.

    A Paperback / softback by Les Oakshott

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      Publisher: Bloomsbury Publishing PLC
      Publication Date: 31/01/2020
      ISBN13: 9781352005691, 978-1352005691
      ISBN10: 1352005697

      Description

      Book Synopsis
      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.

      Trade Review
      An excellent introduction to quantitative methods, written in an accessible and comprehensive way to support students' fast and efficient learning ... an absolute essential. * Ioannis Kyriakou, Cass Business School, City University of London, UK *
      With plenty of applications to real-life business and reflections on methodology, as well as vivid illustrations, this is an excellent introductory textbook to inspire and motivate students. * Mofei Jia, Xi'an Jiaotong-Liverpool University, China *
      A compact yet thorough introduction to the quantitative methods relevant to different areas of business ... Completely up to date, the book reflects the latest trends, issues and practices. * Sascha Mölls, University of Marburg, Germany *
      Provides a no-nonsense way of learning the quantitative techniques necessary for both students and practitioners ... an invaluable resource * Simeon Coleman, Loughborough University, UK *

      Table of Contents
      -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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