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Essential Quantitative Methods: For Business, Management and Finance 7th edition


Essential Quantitative Methods: For Business, Management and Finance 7th edition

Paperback by Oakshott, Les (University of Warwick, UK)

Essential Quantitative Methods: For Business, Management and Finance

£59.99

ISBN:
9781352005691
Publication Date:
31 Jan 2020
Edition/language:
7th edition / English
Publisher:
Bloomsbury Publishing PLC
Imprint:
Bloomsbury Academic
Pages:
456 pages
Format:
Paperback
For delivery:
Estimated despatch 30 Apr - 1 May 2024
Essential Quantitative Methods: For Business, Management and Finance

Description

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. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/essential-quantitative-methods-7e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

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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