Handbook 1996 : Faculty of Engineering (Volume 4 page 92)
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619-001 Statistics for Engineers

Elective Chemical Engineering subject.

Credit points: 7.1

Coordinator: Assoc. Prof. R. K. Watson

Contact: 26 hours of lectures and 13 hours of tutorials

Timetable: Available in both Semesters One and Two

Objectives:

Students completing the course should comprehend:

• the fundamental concepts of probability and statistical inference
• should have developed the skills:
• to use simple probability models in applications to standard situations
• to carry out standard statistical analyses
• should appreciate:
• the breadth of application of statistics

* the importance of the role statistics has in quality improvement

• the application of computer software in statistical analysis

Content:

Exploratory data analysis. Basic probability theory. Simple probability models (including Bernoulli trials, Poisson processes, sampling models); random variables and descriptions of their probability distributions; simple distribution theory, including binomial, Poisson and normal distributions. Acceptance sampling. Random sampling and properties of random samples. Introduction to statistical inference: estimation, confidence intervals and hypothesis testing in standard situations based on the binomial and normal distributions. Control charts. Linear regression and prediction. The principles of experimental design and the analysis of some simple designed experiments.

Assessment:

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

Chemical Engineering subject : Prev:610-033 | Search | Help
Handbook 1996 : Faculty of Engineering (Volume 4 page 92)

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.