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2011/2 Provisional Module Catalogue - UNDER CONSTRUCTION & SUBJECT TO CHANGE
 Module Code: ECO1020 Module Title: STATISTICS FOR ECONOMICS
Module Provider: Economics Short Name: ECO1020
Level: HE1 Module Co-ordinator:
Number of credits: 15 Number of ECTS credits: 7.5
 
Module Availability
Spring
Assessment Pattern
Unit(s) of Assessment 

Weighting Towards Module Mark (%)

2 hour Examination

70

Coursework 1

15

Coursework 2

15


Qualifying Condition(s)
A weighted aggregate mark of 40% is required to pass this module
Module Overview

This module covers probability and statistical inference thsu enabling students to undertake empirical work. The emphasis is on applications rather than mathematical rigour

Prerequisites/Co-requisites
None
Module Aims
  • to further develop good data handling skills
  • to understand the role statistical inference plays in economic analysis
Learning Outcomes

By the end of the module students will:-

  • have a good understanding of probability concepts including both discrete and continuous probability distibutions
  • be able to construct and interpret confidence intervals
  • be able to formulate and conduct hypothesis tests for a wide range of applications
Module Content

The following is an indication of the likely topics to be covered:-

  • probability - mutually exclusive, independent and dependent events: Binomial, Poisson, Normal, t and Chi-squared distributions
  • Statistical inference - random samples; sampling distributions; confidence intervals and hypothesis testing
  • Covariance, correlation and expectation
Methods of Teaching/Learning
Lectures (11) and Classes (5)
Selected Texts/Journals
Lind, Marchal & Wathen, Basic Statistics for Business & Economics, 7th edition, McGraw Hill, 2010
Anderson, Sweeney, Williams, Freeman & Shoesmith, Statistics for Business and Economics, thomson, 2007
Crawshaw & Chambers, Consise Course in Advanced Level Statistic, 4th edition, Nelson Thomas, 2001
Last Updated

10 March 2011