Handbook 1996 : Faculty of Economics and Commerce (Volume 3 page 196)
Economics subject : Next:316-205 | Prev:316-129 | Search | Help
Note: Credit cannot be obtained both for this subject and for 316-129 Business Statistics or 617-160 Scientific Programming and Statistics or 617-170 Discrete Mathematics and Statistics. However, students who pass 617-160 or 617-170 plus another first year mathematics subject may substitute these subects for 316-130 Quantitative Methods.
Credit points: 12.5
Coordinator: Associate Professor V Martin
Contact: Three hours a week.
Timetable: Second semester
Objectives:
On completion of this subject students should:
- understand a number of statistical and mathematical techniques and their application to accounting, economics and finance;
- be familiar with the basic tenets of probability theory;
- be able to summarise data sets with a small number of statistical parameters;
- be familiar with the normal distribution and be able to conduct a hypothesis test using Z-tables.
Content:
Explanation and application of statistical and mathematical techniques which are used for decision making and analysis in business and economics. Measures of location and dispersion; probability, random variables, expected values, decision theory and estimation (mean and proportions), hypothesis testing using the normal distribution. Applications to accounting, economics and finance.
Assessment:
A 2-hour end-of-semester examination (80 per cent) and tutorial exercises of up to 50 pages in total (20 per cent).
Prescribed texts:
Economics subject : Next:316-205 | Prev:316-129 | 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.