The objectives are to give scientists confidence in analysing their own data and to enable them to recognise when they should consult a statistician. Statistical ideas are presented in more intuitive and appealing ways than in traditional statistical courses. By using a computer laboratory, opportunities are given for given practical experience in handling data. This course introduces the basic ideas of data exploration, estimating and testing. The course covers randomisation, replication, blocking and factorial treatment structures.
Analysis of variance is used to interpret experimental results.
The course progresses from simple linear regression to multiple regression, and then to identifying and fitting nonlinear functions to data. TBA TBA TBA Aberdeen Edinburgh Ayr Graphical Methods for Multivariate Data Methods are presented for exploring and identifying structure in multivariatedata. These include principal components, multidimensional scaling and classification techniques. TBA TBA TBA Aberdeen Edinburgh Ayr Introduction to REML REML is a powerful technique available in Genstat, for analysing unbalanced data to estimate components of variance and thereby treatment effects. TBA TBA TBA Aberdeen Edinburgh Ayr Statistical Methods for Repeated Measures Data Repeated measures data arise whenever several measurements of the same variable are made on the same experimental unit, usually at different times.