Description

This unit covers linear statistical models, focusing on their application for the analysis of data from designed experiments and observational studies. Topics comprise an introduction to the statistical computing package R; regression models (including parameter estimation, F-testing and model selection, prediction, model diagnostics); ANOVA models (including crossed and nested factors, main effects and interactions); designed experiments (including blocking, balance, complete and incomplete factorial designs); analysis of covariance (ANCOVA); and an introduction to time series and forecasting using linear models. The statistical methods are illustrated through many real-world examples drawn from the life and physical sciences, the social sciences, and economics and commerce.

For more info see the Handbook: http://handbooks.uwa.edu.au/units/stat/stat2227

Assessment