Handbook 1996 : Faculty of Science (Volume 4 page 238)
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619-340 Applied Statistics

Note: Special requirement: An electronic calculator of an approved type (refer to Department of Statistics Office).

Credit points: 15.0

Coordinator: Dr K Sharpe

Prerequisite: Statistics 619-330; Statistics 619-320 is recommended

Contact: 39 lectures (three a week)

Timetable: Second semester

Objectives:

Students completing this subject should:

Comprehend:

• the concepts and theory used in a range of statistical techniques -- in particular, multivariate analysis, sample surveys, analysis of categorical data and distribution-free methods.
• Have developed the skills:
• to apply a range of statistical techniques, including the use of statistical packages as required;
• to report the findings of a statistical analysis;
• to select the appropriate statistical technique to use in a given situation.

Appreciate:

• the similarities of and differences between some of the standard applied statistical techniques.

Content:

A selection of topics from: experimental design including confounding in 2ⁿ and 3ⁿ experiments; transformations: distribution-free methods; analysis of categorical data; generalised linear models; survival analysis and multivariate analysis. Case studies.

Assessment:

A 3-hour written examination; up to 50 pages of assignments may be assessed.

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Handbook 1996 : Faculty of Science (Volume 4 page 238)

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.