Experimental design investigates the general linear model via the analysis of variance technique with its wide variety of designs and also through simple linear regression. The nested design is also considered. Model adequacy is examined through the analysis of residuals and assessment of fit. In simple linear regression, the distributions of model parameters are derived leading to hypothesis testing and confidence intervals for the regression line.
Residuals are examined for adequacy of fit and where appropriate the lack of it is assessed.
Randomized complete block design. Postgraduate Module Catalogue Information set up and maintained by Geoff Lidster .