Statistics for Economics - EC309

Location Term Level Credits (ECTS) Current Convenor 2018-19 2019-20
Canterbury Spring
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4 15 (7.5)
(version 2)
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4 15 (7.5) PROF AA Carruth




Not available to students taking CB314 Quantitative Models and Methods for Accounting and Finance. Not available as a wild module.



The main aim of this module is to provide you with a basic understanding of statistics suitable for the Stages 2 and 3 degree programmes in Economics, although it is also suitable for students taking other Social Science degrees. This module is a prerequisite for Stages 2 and 3 Economics modules and is a core input to the second year quantitative modules, EC580 and EC581. So as well as learning basic statistics, the module provides you with the opportunity to apply statistical concepts to economic and business data using calculators and computer software. Work with Excel is an independent study element of the module, and using calculators to undertake basic descriptive statistics is an important focus of the practical problem solving.


This module appears in:

Contact hours

22 lectures and 11 seminars, 7 optional workshops

Method of assessment

20% coursework, consisting of two class tests, 80% end-of-year exam

Preliminary reading

M Barrow, Statistics for Economics, Accounting and Business Studies, (6th ed), Longman
Suitable alternatives textbooks are:
T H and R J Wonnacott, Introductory Statistics for Business and Economics, Wiley (any edition)
J Kazmier and N F Pohl, Basic Statistics for Business and Economics, McGraw-Hill

See the library reading list for this module (Canterbury)

See the library reading list for this module (Medway)

Learning outcomes

By the end of the module, you will be able to:
organise and describe statistical data
appreciate the importance of probability concepts and apply the basic properties of probabilities and probability distributions
understand the basis of hypothesis testing and interval estimation and apply the methods to estimation of population means and regression parameters
use regression to analyse relationships between two variables
analyse simple data sets using a calculator

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