Handbook 1996 : Faculty of Economics and Commerce (Volume 3 page 196)
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316-129 Business Statistics

Note: Students may not gain credit for both 316-129 Business Statistics and 316-130 Quantitative Methods 1.

Credit points: 12.5

Coordinator: Dr G Lim

Contact: Two 1-hour lectures and a 1-hour tutorial a week.

Timetable: Second semester

Objectives:

On completion of this subject students should be able to:

• succinctly summarise the properties of data sets which typically arise in economics and finance, including their movement over time;
• know and understand the properties and uses of theoretical statistical distributions which are employed in economics and finance;
• use sample information to make statistical inferences about a population.

Content:

Data analysis; major probability distributions; point and interval estimation; hypothesis testing; analysis of variance. Applications to Accounting, Economics and Finance.

Assessment:

A 2-hour end-of-semester examination (80 per cent) and assignment not exceeding 40 pages in total (20 per cent).

Prescribed texts:

• Weiers Rm Introduction to Business Statistics 2nd Edition Dryden Press

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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

Copyright © University of Melbourne 1995,1996.