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Biology and other sciences require statistical methods to analyse data. This course provides a practical approach to the use and interpretation of statistical methods and software to analyse biological data arising in a variety of scientific contexts. Topics covered may include: data visualisation, experimental design, the central limit theorem, t-tests, randomisation tests, ANOVA, chi-squared tests, regression, and ANCOVA.
|2020||Semester One full semester||Internal||Auckland Campus|
|2021||Semester One full semester||Internal||Auckland Campus|
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