
Essential Quantitative Methods
for Business, Management and Finance
Bloomsbury Academic (Publisher)
8th Edition
Will be published approx. on 1. October 2026
Book
Hardback
488 pages
978-1-350-42642-9 (ISBN)
Description
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.
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.
More details
Edition
8th edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Bloomsbury Publishing PLC
Target group
College/higher education
Product notice
Unsewn / adhesive bound
Illustrations
370 colour illus
Dimensions
Height: 246 mm
Width: 189 mm
Thickness: 25 mm
Weight
454 gr
ISBN-13
978-1-350-42642-9 (9781350426429)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Les Oakshott is a former Associate Fellow of Warwick Business School, UK.
Kathy Kotiadis is Professor of Management Science/Operational Research at the University of Kent.
Kathy Kotiadis is Professor of Management Science/Operational Research at the University of Kent.
Author
University of Warwick, UK
Professor of Operational Research, University of KentUniversity of Kent, UK
Content
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 Speed
Part III: Probability and 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
16. Managing Stock Levels: Materials Management and Inventory Control
Bibliography
Appendix: Statistical Tables
Index
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 Speed
Part III: Probability and 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
16. Managing Stock Levels: Materials Management and Inventory Control
Bibliography
Appendix: Statistical Tables
Index