Mathematical and Statistical Methods
Module Code: EC204C
Module Title: Mathematical and Statistical Methods
(NB Students may take only one of EC2040 and ST2930)
- ECTS Weighting: 5
- Semester/Term Taught: Hilary Term
- Contact Hours: 22 hours of lectures and 10 hours of tutorials
- Module Personnel: Lecturer - Michael Wycherley
Having successfully completed this module, you will be able to:
- Explain and apply mathematical and statistical terminology.
- Solve problems related to statistical inference, mathematical optimization and applications.
- Formulate economic problems in the language and abstractions of mathematics and statistics.
Satisfactory completion of this module will contribute to the development of the following key skills:
- Abstraction from concrete problems to generic concepts.
- Problem-solving using quantitative methods.
- Ability to perform simple statistical analysis.
Module Learning Aims
This module provides a broad, practically oriented introduction to inferential statistics of the kind used across the range of social science disciplines. It builds on the material on descriptive statistics and probability covered in the Introduction to Statistics module students will have taken in the JF year.
- Construction of confidence intervals for estimators.
- Hypothesis testing.
- Analysis of variance.
- Simple linear regression.
Recommended Reading List
Jaggia and Kelly, Business Statistics: Communicating with Numbers, McGraw Hill.
Weekly problem sets worth 10% of the overall grade and a take home test worth 10% of the overall grade.
80% of the overall grade
https://sites.google.com/site/wycherlm/ec2040 accessible via Blackboard