Design and implement experiments involving: Completely Randomised Designs;
Randomised Block Designs; Latin Square Designs, Incomplete Blocks.
General ANOVA experiments and dealing with missing values.
Factorial Experiments
Non Parametric methods common in the analysis of experiments.
Data exploration, critically analyse data and interpret results obtained from real-world problems using a Statistical Package such as SPSS
Multiple Linear Regression, choosing explanatory variables, using indicator variables, 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

An individual assignment weighted at 40% exploring a variety of experimental designs and performing appropriate analysis for a range of problems. Use of statistical software is also required. (Learning outcomes 1, 2)

An Exam length 2 hours weighted at 60% covering the overall content of the module with emphasis on second semester (Learning outcomes 2, 3, 4,)

The exam will be the final assessment point.

Students are required to commit to 300 learning hours of which 60 hours will consist of contact time. Typically there will be 24 hours of lectures (1 a week) and 36 hours of tutorial/practical time (alternating 1 and 2 a week). Lectures will provide students with a broad overview of the indicative content and theoretical concepts. They will apply these concepts to real data sets using an appropriate statistics package. The tutorial/practical sessions will also allow students to practise the material covered in the lectures through problem solving.

For background reading only, e.g.
An Introduction to the Design and Analysis of Experiments, George Canavo and Ioannis Koutrouvelis, Pearson 2009, ISBN: 0136158633

Discovering Statistics using SPSS, Andy Field, Sage 2009, ISBN: 9781849204088

Multiple Regression and Beyond, T. Keith, Allyn & Bacon 2002, ISBN: 0205326447

Statistical Modelling with GENSTAT Hodder, K. J. McConway, M. C. Jones, P. C. Taylor, Arnold 1999, ISBN: 0340759852

SPSS

CE62004-5 Survey Design and Statistical Inference or equivalent