Faculty of Agricultural, Life and Environmental Sciences
Concepts of inferential statistics and null hypothesis testing, statistical versus scientific hypothesis testing, problem formulation, assumptions, and interpretation. One- and two-sample inferences for population means and proportions, one and two-way analysis of variance, linear correlation and regression, classical non-parametric statistics. Participants will gain general statistical literacy and learn how to implement common statistical tests with open-source software packages.
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE A1
(49772) |
40 |
2024-10-21 - 2024-12-09 (MWF)
09:00 - 09:50
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Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LAB D1
(49773) |
40 |
2024-10-21 - 2024-12-09 (W)
14:00 - 16:50
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