Duration: 24 weeks
Number of lectures per week: 2 lectures and 1 tutorial per week
Assessment: Three take-home assignments and a short in-class exam carrying
20% of final grade (if it improves end of year examination mark)
End-of-year Examination: One 3-hour exam
This course is an introduction to probability theory and statistical
methods. The fundamental concepts are introduced in the context of a
series of practical problems of varying complexity.
The topics covered will include: statistical variation, probability
models for statistical data, random variables, probability
distributions and their properties; sampling distributions,
statistical estimation; comparative studies, contingency tables,
simple linear regression, analysis of variance.
The theory will be illustrated by examples from biology, engineering,
industry, medicine and the social sciences. The statistical computing
package MINITAB will be used.
Chatfield, C., Statistics for Technologists, 3rd edition, Chapman and Hall, London, 1983.
Ross, S.M., Introduction to Probability and Statistics for Engineers and Scientists, Wiley, 1987.
Oct 12, 2000