Advanced Statistical Methods in Experimental Design

MTH354 Advanced Statistical Methods in Experimental Design continues from MTH353 Basic Statistical Methods in Experimental Design to focus on the connection between the experiment and the model that the experimenter can develop from the results of the experiment. It covers factorial and fractional factorial designs in greater detail. The course introduces response surface methodology and gives an overview of random effects model and nested and split-plot designs.

What You'll Learn

1 Verify the generators for a given design

2 Discuss the differences between a split plot and a two-way ANOVA

3 Implement a randomised complete block design and construct the ANOVA table in

4 Demonstrate a factorial design and constructing the ANOVA table in R

5 Analyze the data collected based on the design used and its underlying assumptions

6 Interpret the results of experiment and report the conclusions

Minimum Entry Requirement

Diploma or an equivalent qualification from a recognised institution