Essential Quantitative Methods
for Business, Management and Finance
Les Oakshott (Author) , Les Oakshott (Author) , Les Oakshott (Author) , Les Oakshott (Author) , Kathy Kotiadis (Author) , Kathy Kotiadis (Author) ,
- Textbook
Essential Quantitative Methods
for Business, Management and Finance
Les Oakshott (Author) , Les Oakshott (Author) , Les Oakshott (Author) , Les Oakshott (Author) , Kathy Kotiadis (Author) , Kathy Kotiadis (Author) ,
- Textbook
Available for purchase via Bloomsbury etextbooks on publication date
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.
Accessibility Information
Additional accessibility information
- EPUB 3.0
- Conforms with the requirements of EPUB Accessibility Spec v1.1
- WCAG level AA
- WCAG v2.2 compliant
- accessibility@bloomsbury.com
Hazards
The publication contains no hazards
Support for non-visual reading
- No accessibility features offered by the reading system, device or reading software are disabled or otherwise unusable with the product
- Has alternative text descriptions for images
Visual adjustments
Appearance of the text and page layout can be modified according to the capabilities of the reading system (font family and size, spaces, as well as color of background and text)
Navigation
- Page list to go to pages from the print source version
- Elements such as headings, tables, etc for structured navigation
- All or substantially all textual matter is arranged in a single logical reading order
- Content is enhanced with ARIA roles to optimize organization and facilitate navigation
- Purposes of all links are made clear
Rich content
Language tagging provided
Table of Contents
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
Product details
| Published | 03 Sep 2026 |
|---|---|
| Format | Ebook (Epub & Mobi) |
| Edition | 8th |
| Pages | 488 |
| ISBN | 9781350426436 |
| Imprint | Bloomsbury Academic |
| Illustrations | 370 colour illus |
| Publisher | Bloomsbury Publishing |























