Handbook 1996 : Faculty of Science (Volume 4 page 236)
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619-101 Statistical Methods

Note:

1. Credit cannot be gained for both 619-101 and 619-201.
2. Special Requirement: An electronic calculator of an approved type (refer to Department of Statistics Office).

Credit points: 12.5

Coordinator: Assoc Prof R K Watson

Contact: 39 lectures (three a week) and 39 tutorial/practice class hours

Timetable: First semester

Objectives:

Students completing this subject should

Comprehend:

• the fundamental concepts of probability and statistical inference;

Have developed the skills:

• to use simple probability models in applications to standard situations;
• to carry out standard statistical analyses;

Appreciate:

• the breadth of application of statistics;
• the principles of estimation and hypothesis-testing and statistical techniques and their applications;
• the application of computer software in statistical analysis.

Content:

Simple probability models (Bernoulli trials, Poisson processes, sampling models); random variables and descriptions of their probability distributions; standard probability distributions including hypergeometric, binomial, negative binomial, Poisson, gamma and normal distribution and some of their applications; random sampling and properties of random samples sample surveys. Introduction to parametric inference: estimation, confidence intervals and hypothesis testing; analysis of variance for one-way and two-way classification; linear regression; the general linear model and applications.

Assessment:

Up to 3 hours of end-of-semester written examination; up to 50 pages of assignments may be assessed.

Statistics subject : Next:619-201 | Prev:619-100 | Search | Help
Handbook 1996 : Faculty of Science (Volume 4 page 236)

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.