Review of exploratory data analysis: t-tests and non-parametric equivalents and power analysis. Experimental design and analysis of variance: review of one-way analysis of variance model; model diagnostics; multiple comparison techniques; principles of experimental designs; ANOVA for some standard experimental designs like randomised block design; Latin square design; split plot and nested design; factorial method of experimentation and analysis; experimentation with repeated measures; and analysis of covariance. Examples of applications using SPSS. Multiple linear regression: review of simple linear regression. The multiple linear regression model, parameter estimation and inferences... -- Course Website
