At a glance
Frequency
At your convenience
Duration
5 half-days
Study mode
Online or in person
Fees
$440-$880 info below
What you will learn
This course covers the principles and practice of designing experiments or trials, and the analysis of data from them. The sessions will mix lecture presentations with practical exercises.
Course topics
- Choice of experimental units.
- Importance of randomisation and the practicalities.
- Replication and sample size.
- Blocking and matching.
- Commonly used designs, including completely randomised designs, randomised block and matched pair designs.
- Latin square designs.
- Treatments, including factorial structures.
- Analysis of data from designed experiments.
- Analysis of variance and covariance.
- Special designs, including incomplete block designs, split-plot designs, and fractional factorial designs.
- Transformations of data.
- Practical and ethical issues arising in the conduct of experiments.
Presenter
Cameron Patrick
Cameron Patrick is a consultant for the Statistical Consulting Centre in the School of Mathematics and Statistics. He also supports University staff and graduate researchers.
Who should take this course?
The course is suitable for those involved in the design and analysis of research experiments. 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 possibilities in other disciplines.
Participants should have some understanding of statistics at an introductory level. For example, it would help to know something about hypothesis tests and confidence intervals, and, preferably, analysis of variance. The course Statistics for Research Workers offered by the Statistical Consulting Centre would be ideal preparation.
What people are saying
"A very comprehensive course which has greatly enhanced my understanding of how to effectively design and analyse experiments."
"Well-presented course with a comfortable learning pace, pitched for all experimenters."
"Useful for practitioners in all areas of research."
"An extremely worthwhile course for any scientific researcher."
More information
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Course cost
$880
Course cost for University of Melbourne staff
$660
Course cost for University of Melbourne postgraduate students
$440
- The fee includes a comprehensive set of notes and morning and afternoon tea. Lunches are not provided.
- All prices include GST.
- GST does not apply if paying through your University School.
- $30 cancellation fee applies.
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The timing and mode of presentation for this course is flexible.
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