Handbook 1996 : Faculty of Economics and Commerce (Volume 3 page 196)
Economics subject : Next:619-201 | Prev:316-205 | Search | Help
Credit points: 12.5
Coordinator: Dr N Olekalns
Prerequisite: 316-130 Quantitative Methods 1. Students may not gain credit for both 316-206 Quantitative Methods 2 and 316-205 Introductory Econometrics.
Contact: Two 1-hour lectures and a 1-hour tutorial a week.
Timetable: First semester
Objectives:
On completion of this subject students should be:
- familiar with the t-distribution and able to test hypotheses drawn from auditing, economics and finance using this distribution;
- able to apply chi-square tests of goodness-of-fit and independence;
- able to describe and test hypotheses about the relationship between two variables using simple regression analysis;
- able to interpret multiple regression results involving economic and business data sets;
- understand the use of index numbers in economics and finance;
- understand the classical model of time series;
- be able to construct seasonal indices and de-seasonalise data.
Content:
Regression, time series, the computer simulation of economic models, index numbers, studies of the sources, nature and applications of Australian statistics. Hypothesis testing using the t- and chi-squared distributions. Analysis of variance.
Assessment:
A 2-hour end-of-semester examination (90 per cent) and tutorial exercises of up to 60 pages in total (10 per cent).
Prescribed texts:
Economics subject : Next:619-201 | Prev:316-205 | Search | Help
Handbook 1996 : Faculty of Economics and Commerce (Volume 3 page 196)
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: Dept. of Economics, Faculty of Economics and Commerce.
Copyright © University of Melbourne 1995,1996.