Dr N Olekalns 316-130 Quantitative Methods 1. Students may not gain credit for both 316-206 Quantitative Methods 2 and 316-205 Introductory Econometrics. First semester Two 1-hour lectures and a 1-hour tutorial a week. 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.

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. A 2-hour end-of-semester examination (90 per cent) and tutorial exercises of up to 60 pages in total (10 per cent). Hamburg M Statistical Analysis for Decision Making latest edition Harcourt Brace Jovanovich or Levin R I Statistics for Management latest edition Prentice-Hall, or Lewis D et. al. Statistics for Business and Economics Harcourt Brace Jovanovich