Oakshott, Les, Kotiadis, Kathy (2026) Essential Quantitative Methods for Business, Management and Finance. 8th. Bloomsbury Publishing, UK, 488 pp. ISBN 978-1-350-42642-9. E-ISBN 978-1-350-42643-6. (In press) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:116011)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: https://www.bloomsbury.com/uk/essential-quantitati... |
|
Abstract
Statistical skills are essential for analysing data and ensuring optimal business operation and efficiency. In this clear and concise textbook, Les Oakshott and Kathy Kotiadis guide students through key quantitative techniques, from basic maths and statistics through to advanced topics such as hypothesis testing and linear programming.
Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of China's economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore.
New to this edition:
-Links the UN Sustainable Development Goals to quantitative techniques
-Greater emphasis on Excel to enable seamless transition to blended learning approaches
-Walk-through videos of key processes hosted on the companion website
This is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels.
Accompanying online resources for this title can be found at bloomsbury.pub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost.
| Item Type: | Book |
|---|---|
| Uncontrolled keywords: | Statistics, quantitative methods, Management Science, Operational Research |
| Subjects: | Q Science > Operations Research - Theory |
| Institutional Unit: | Schools > Kent Business School |
| Former Institutional Unit: |
There are no former institutional units.
|
| Depositing User: | Kathy Kotiadis |
| Date Deposited: | 25 Aug 2026 13:03 UTC |
| Last Modified: | 27 Aug 2026 09:09 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/116011 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0001-8004-5708
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