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Statistical techniques for the biological, medical and other life sciences. Case studies are used to demonstrate topics such as experimental design, multivariate methods, linear models with normal and non-normal errors, nonlinear regression, and mixed effects models. Emphasis is placed on application of appropriate statistical techniques through extensive use of statistical software, and implementation of these techniques in a research project.
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.
|2021||Semester Two full semester||Internal||Auckland Campus|
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