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.