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Module Summary
The ability to reason with numbers is not only important for a career in management, but can be a
fascinating part of intellectual development. The course intends to equip participants with the skills
required to interpret and understand quantitative data, and provide a foundation for the knowledge
required in other subjects. We will take a broad view of how statistical techniques have developed
as a means for humans to cope with risk and uncertainty, and look at real‐world examples of how
organisations use, abuse, and are fooled by numerical data.
Course Objectives
At the end of this module, students should be able to:
- Understand how quantitative methods impact managerial judgement
- Sharpen cognitive capacity to deal with numbers and statistical techniques, at an individual level and within a team
- Uncover original applications of the course material to business history
Learning Outcomes
Knowledge and understanding:
- Develop judgement over alternative methods and techniques
- Understand and utilise basic statistical methods
Skills:
- Communicate quantitative information effectively at a written level
- Improve numerical literacy
Course Schedule
Topic |
Subject |
Topics |
Deadline for quizzes |
Deadline for quizzes |
Reading |
1 |
Introduction |
|
Monday |
Monday |
[1] Ch. 1, 2 |
2 |
Probability |
|
Monday |
Monday |
[1] Ch. 5, 6 |
3 |
Probability Distributions |
|
Monday |
Monday |
[1] Ch. 8, 9, 10 |
4 |
Inferential Statistics |
|
Monday |
Monday |
“Taxi for Professor Evans” [1] Ch. 11, 12 |
5 |
Modelling |
• Correlation
|
Monday |
Monday |
“The Suitcase Case” [1] Ch. 13, 14, 15, 16, 17Group report: Sunday 10th September, 2023 |