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Statistics for Economics and Business - EC309
| Location | Term | Level | Credits (ECTS) | Convenor | 2013-14 | 2014-15 | 2015-16 |
|---|---|---|---|---|---|---|---|
| Canterbury | Spring |
Certificate
Certificate level module usually taken in the first stage of a degree
|
15 (7.5) | Carruth Professor A A |
|
|
|
The information below applies to the 2013-14 session
Synopsis
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, Business and Accounting although it is also suitable for students taking other Social Science degrees. This module introduces you to statistical concepts and methods in preparation for Stages 2 and 3 modules in economics; it is a prerequisite for Stages 2 and 3 Economics modules and is a core input to the second year quantitative module, EC511. So as well as learning basic statistics, the module emphasises the interpretation of statistical results; and 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.
Details
Contact hours
24 lectures and 11 seminars
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, (5th 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
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
Pre-requisites
No pre-requisites