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161.250 Data Analysis for Biologists (15 credits)
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.
One of 115.101, 161.101, 161.111, 161.120 or 161.122
General Prerequisite: At least 45 credits from 100 level.
- Restriction(s): 161.220
|2021||Semester One full semester||Internal||Auckland Campus|
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