Mathematical and Statistical Methods B
Module Code: ECU22032 (old code EC2141)
Module Title: Mathematical and Statistical Methods B
- ECTS Weighting: 5
- Semester/Term Taught: Semester 2
- Contact Hours: 22 hours of lectures and 10 hours of tutorials
- Module Personnel: Lecturer - Professor Michael Wycherley
*Please note that this outline has not been finalised and is subject to change.
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.
ECU22031 Mathematical & Statistical Methods A
Weekly problem sets worth 20%, a take home test worth 20% and a final exam worth 60% of the overall grade. Due to the availability of solutions, late coursework submissions will only be accepted under exceptional circumstances.
https://sites.google.com/site/wycherlm/ecu22032 available via Blackboard