Course description

The course will cover the principles of design of controlled experiments, including replications, randomisation, and reduction of experimental error in agricultural related disciplines. The course will cover analysis of variance (ANOVA) for completely randomised design, simple blocking designs, factorial designs, split-plot and nested designs. Other advanced topics such as unbalanced designs, repeated measures and missing values may be covered. Introduction to statistical packages and computer exercises will be given in mostly Minitab (Minitab Inc.) and R/RStudio (The R Foundation for Statistical Computing). On the completion of this course, students is expected to be able to at least design a simple experiment, analyse the data, interpret the outputs and present the analysis result. Use of their own datasets will be encouraged for special topics. Other statistical software packages, such as SAS (SAS Institute, Cary, NC), may be used on occasions for demonstration purposes

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