- Department: Economics and Related Studies
- Credit value: 20 credits
- Credit level: C
- Academic year of delivery: 2023-24
- See module specification for other years: 2024-25
This module introduces basic ideas in probability and statistics with applications in economics and finance.
Occurrence | Teaching period |
---|---|
A | Semester 2 2023-24 |
To develop students’ knowledge of probability and statistics that is useful in economics and finance.
To introduce students to techniques of probability and statistics to solve problems
To provide students with a solid foundation for intermediate econometrics modules offered in Stages 2 & 3
Students will be familiar with:
The basic tools required to develop and understand Probability ideas and problems
Conditional probability
Some examples of how the probabilistic framework is relevant for economics and finance
Describe the concepts of populations, samples and sampling distributions
Describe and be able to apply procedures for estimating quantities of interest and testing claims about such quantities
Describe the role of correlation and simple regression in analysing the relationship between two variables, and be able to apply these tools and discuss empirical results.
Weeks 1-6 Probability
Weeks 7-11 Statistics
Task | % of module mark |
---|---|
Online Exam - 24 hrs (Centrally scheduled) | 100 |
None
3 different formative assessments:
online submission of work
empirical application
Multiple choice test test
Task | % of module mark |
---|---|
Online Exam - 24 hrs (Centrally scheduled) | 100 |
For online assessment a week after submission, for empirical application and test whole group discussion.
John E. Freund’s Mathematical statistics and its applications
Schaum’s outline of theory and problems of statistics and probability