Statistics for Economics - ECON3090

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2021 to 2022
Canterbury
Spring Term 4 15 (7.5) Sylvain Barde checkmark-circle

Overview

This module introduces students to the basic concepts of probability and statistics, with applications to a variety of topics illustrated with real data. The techniques that are discussed can be used in their own right to solve simple problems, but also serve as an important foundation for later, more advanced, modules. Importantly, the module serves as a prerequisite for Stage 2 econometric modules EC580 and EC581.

The module commences with an overview of descriptive statistics. It then considers the key ideas in probability theory before moving on to statistical inference - the science of drawing conclusions from data. The main topics covered in the module include:
• Graphical and numerical analyses of data
• The principles of probability
• Probability Density Functions
• Sampling and its use in inference
• Regression and correlation

Details

Contact hours

Total contact hours: 32
Private study hours: 118
Total study hours: 150

Availability

This module is compulsory for all students studying single and joint honours degrees in Economics.
This module is not available to students across other degree programmes in the University.

Method of assessment

Term-time problem sets 20%
In Course Test 105 minutes 20%
Examination 2 hours 60%

Reassessment methods
Reassessment Instrument: 100% exam

Indicative reading

Barrow, M. (2017) Statistics for Economics, Accounting and Business Studies, (7th ed), Longman
Wonnacott, T.H. and R.J (1990), Introductory Statistics for Business and Economics (4th ed.), Wiley

See the library reading list for this module (Canterbury)

Learning outcomes

On successfully completing the module students will be able to:
8.1 Organise, describe and summarise data
8.2 Understand the principles of probability
8.3 Understand the principles underlying sampling theory
8.3 Apply hypothesis testing and interval estimation to sample data
8.4 Use regression analysis to consider relationships between two variables

Notes

  1. Credit level 4. Certificate level module usually taken in the first stage of an undergraduate degree.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
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