Design and Analysis of Experiments

4 days: To be scheduled

people in the experimentlaboratory

This course covers the principles and practice of designing experiments, and the analysis of data from them. The course covers the following topics:

Course structure:

The four days are deliberately arranged so that there is a weekend break during the course. Each day will consist of four approximately equal-length sessions; the first session of the day will commence at 9:00 a.m. and the final session will end at approximately 4:45 p.m. The sessions will mix lecture presentations with practical work.

All participants have access to a PC. The statistical package Minitab (release 17 for Windows) will be used in the course. However, the course will not be package-centred, and no prior experience with Minitab is necessary.

The course is one of the specialised courses offered by the Statistical Consulting Centre. Generally, the Centre offers the introductory course "Statistics for Research Workers" at least twice, and at least one additional, more specialised course. The last occasion that Design and Analysis of Experiments was run was in 2016.

Who should take this course?

The course is suitable for researchers involved in the design and analysis of research on the effectiveness of interventions or treatments. Applications include randomised trials in medicine or the social sciences, designed experiments in the biological sciences, studies of processes in engineering, as well as many other possibilities in other disciplines.


Participants should have some understanding of statistics at an introductory level. For example, participants should know about hypothesis tests and confidence intervals, and, preferably, analysis of variance. The course "Statistics for Research Workers" would be suitable preparation.

Course presenter:

The presenter is Associate Professor Graham Hepworth ,deputy-director of the Statistical Consulting Centre. Graham has had extensive experience over two decades in design and analysis of experiments, in fields such as forestry, horticultural science, animal studies, medicine and the social sciences.


Wilson computer lab

The course will be held in the Wilson Computer Laboratory in the Department of Mathematics and Statistics, Richard Berry Building.

Parking within the University grounds will not be available.

Trams are conveniently located on Swanston Street,
the centre encourages sustainable forms of transport.

Public transport timetable


Enrolment package:

Application form DAE

Enrol using credit card:

Credit card payment


Other payments require an application form:

Other payment methods form

Please send completed enrolment forms to:
Statistical Consulting Centre
Richard Berry Building
The University of Melbourne, VIC 3010

Email: dmai@ fax: 8344 7499.

If you have difficulties downloading the form or any questions related to the course,

Submit an enquiry form

or contact Deb Maillardet on 8344 6995.

If you would like to register your expression of interest in 'Design and Analysis of Experiments' , please complete and submit the following:

Expression of interest