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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

Learning Outcomes

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.

Module Content

  • 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.

Assessment Details

Hilary Term:

Weekly problem sets worth 10% of the overall grade and a take home test worth 10% of the overall grade.

Annual Exam:

80% of the overall grade

Module Website

https://sites.google.com/site/wycherlm/ec2040 accessible via Blackboard