Each wLearning will take plae via 12 hours of lectures and 12 hours of laboratory work. Each week students will be given tasks to consolidate their learning. Lectures will be used to go over the theoretical concepts of the content, whilst the laboratory work will apply these concepts to real data sets using an appropriate sophisticated statistics package.

An individual assignment weighted at 50% (Learning outcomes 1, 2)
A 2-hour examination weighted at 50% (Learning outcomes 1, 3, 4)

Data exploration, Review of statistical concepts, Use of Statistical Packages
Multiple Linear Regression, choosing explanatory variables, using indicator variables, analysis of variance, Stepwise Regression and its limitations.
Binary regression, logistic regression models, odds ratio; use of stepwise regression
Generalized linear models; Poisson regression, Binomial regression
Diagnostic checking - residuals, outliers, leverage, Cook statistics
Loglinear models for contingency tables

T. Keith (2002) Multiple Regression and Beyond, Allyn & Bacon, ISBN: 0205326447
K. J. McConway, M. C. Jones, P. C. Taylor (1999) - Statistical Modelling with GENSTAT, Hodder, Arnold, ISBN: 0340 759852

Major statistical package such as GENSTAT, SPSS, MINITAB

Previous study of Statistics module CE63001-6, Experimental Design or equivalent.