Quantitative Methods for Business and Management, 1st edition
Title overview
To study business you have to understand Quantitative Methods. The business world is full of figures so knowing how to handle them is a key skill for successful management. To help you acquire this ability, Quantitative Methods for Business and Management Students takes you on a journey though the techniques required to succeed in business and management.
The book provides examples of where the tools in the Quantitative Methods tool-kit have been used in business organisations and worked examples based on applications in the business world. The methods are clearly explained in words before being represented mathematically. Key techniques are summarised in step-by-step ‘Self assembly guides’. Review Questions are provided for readers to test their understanding and these are graded according to difficulty.
· Examples of where the tools in the Quantitative Methods tool-kit have been used in business organisations
· Worked examples based on applications in the business world.
· The methods are clearly explained in words before being represented mathematically.
· Key techniques are summarised in step-by-step ‘Self assembly guides’.
· Review Questions are provided for readers to test their understanding and these are graded according to difficulty.
Table of contents
- 1 Rules of the road; The basic techniques
- 2 Straight ahead - linear models
- 3 Around the bend - dealing with the curves
- 4 Filling up - fuelling quantitative analysis
- 5 Good visibility - pictorial presentation of data
- 6 General directions - summarising data
- 7 Two-way traffic - investigating relationships between two variables using correlation and regression
- Counting the cost - summarising money variables over time
- 9 Long distance - analysing time series data
- 10 Is it worth the risk - introducing probability
- 11 Finding the right way - analysing decisions
- 12 Accidents and incidence - discrete probability distributions and simulation
- 13 Smooth running - continuous probability distributions and basic queuing theory
- 14 Getting from A to B - project planning using networks
- 15 Taking short cuts - sampling methods
- 16 Test driving - sampling theory, estimation and hypothsis testing
- 17 High performance - statistical inference for comparing population means and bivariate data
- 18 Going off-road - managing quantitative research for projects and dissertations#
Author bios
Dr John Buglear is a Principal Lecturer in Statistics and Operational Research at Nottingham Business School where he is also Programme Leader of the BA Business courses. As well as writing this textbook he has published research in the field of student engagement.