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Adaptive statistical methods
Statistical issues arise as important natural parts of the process of reaching conclusions. From astronomical to psychology studies, statistical methods are required for data analysis across disciplines. The same terminology, graphical representation and statistical tests can apply to different data sets. Statistical methods are taught in many, many courses so it's obvious that enormous duplication of effort is taking place. Yet each subject requires a different "view" of a particular method so the challenge is to provide this in an adaptable but simple, informative and engaging way.
We aim to create a collection of GLOs, each with a key statistical method at its core. An expert seminar, held in Cambridge in February 2005 has laid the foundation for this work by identifying the key methods that generalise across the disciplines. Three workshops will bring together expert teachers and developers to create a GLO template for each method that can be subsequently instantiated by local teachers. more...
