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Handbook 1997 : Faculty of Economics and Commerce : Economics

316-130 Quantitative Methods 1

Note:

Credit cannot be obtained both for this subject and for 316-129 Business Statistics or 617-141 Scientific Programming and Simulation or 619-100 Experimental Design and Statistical Analysis or 617-160 Scientific Programming and Statistics (1995 Handbook) or 617-170 Discrete Mathematics and Statistics (1994 Handbook). However, students who pass 617-141 or 619-100 or 617-160 or 617-170 plus another first year mathematics subject may substitute these subjects for 316-130 Quantitative Methods.

Coordinator:

Assoc. Professor V Martin

Timetable:

Semester 2

Contact:

Three hours a week

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 and expected values; estimation and hypothesis testing using the normal and t distributions; differentiation and integration. Applications to accounting, economics and finance.

Assessment:

A 2-hour end-of-semester examination (70%) assignments not exceeding 50 pages in total (20%) and a mark based on tutorial attendance and participation (10%).

Prescribed Texts:

  • Harrison SR and Tamaschke R H U, Statistics for Business, Economics and Management, Prentice Hall 1993.
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Handbook 1997 : Faculty of Economics and Commerce : Economics 
Status:                   OFFICIAL 1997
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Copyright © University of Melbourne 1997.