Modelling and experimental measurement
2 points * 12 lectures and tutorials, 12 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, lognormal, Weibull. Linear and multiple regression, correlation. Confidence levels, t tests, covariance. Non-parametric statistics. 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
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