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Successful research in the natural and physical sciences requires the design, implementation and analysis of directed sampling programmes and experiments. This course covers the logic of scientific investigations, stratified random sampling, ANOVA designs, fixed and random factors, nested hierarchies, interactions, mixed models, inference spaces and estimation of variance components in a research context.
Note(s): Access to a Windows PC is required for analysis of data.
Note: You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.
|2017||Semester Two full semester||Block||Auckland Campus|
|2018||Semester Two full semester||Block||Auckland Campus|
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