2 points
* 15 lectures and tutorials and 13 hours of
laboratory work
* First semester
* Clayton
Objectives To enable students to understand and assess the significance of experimental results and to understand how to test hypotheses. To develop the ability to use simple computer spreadsheets to analyse and present experimental data.
Synopsis Experimental errors. Measurement and frequency distribution. Mean, mode and standard deviation; standard deviation of the mean. Probability distributions including binomial, normal, Poisson, Weibull. Linear and multiple regression, correlation. Confidence levels, t tests, covariance. Experimental design.
Prescribed texts
Hayslett H T Statistics made simple Doubleday, 1968
Reference
Brownlee K A Industrial experimentation 4th edn, Chemical Publishing Co,1958
Recommended texts
Cox D R The planning of experiments Wiley, 1958
Back to the Engineering Handbook, 1998
Published by Monash University, Australia
Maintained by wwwdev@monash.edu.au
Approved by R Chaffey, Faculty of Engineering
Copyright © Monash University 1997 - All Rights Reserved -
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