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Handbook 1997 : Faculty of Economics and Commerce : Economics

316-206 Quantitative Methods 2

Coordinator:

Dr N Olekalns

Prerequisite/s:

316-130 Quantitative Methods 1. Students may not gain credit for both 316-206 Quantitative Methods 2 and 316-205 Introductory Econometrics.

Timetable:

Semester 1

Contact:

Two 1-hour lectures and a 1-hour tutorial a week

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, 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 (70%), assignments not exceeding 50 pages in total (10%) and a mark based on tutorial attendance and participation (10%).

Prescribed Texts:

  • Hamburg M and P Young, Statistical Analysis for Decision Making, latest ed. Harcourt Brace Jovanovich.
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Handbook 1997 : Faculty of Economics and Commerce : Economics 
Status:                   OFFICIAL 1997
Last Modified:            Wednesday March 12 3:36 pm
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Email Enquiries:          Course_Information@registrar.unimelb.edu.au
Copyright © University of Melbourne 1997.