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The course is case-study based and involves lots of practical work using R. Exploratory data analysis: summaries and graphics. Mosaic plots. Fisher’s exact test. Calculating probabilities, quantiles. Assessing Normality, Normal probability plots. Transformations. Simulation of CLT. Analysing data using one and two sample t-tests and confidence intervals. Correlation, simple linear regression inference and anova.
Lectures and tutorials as for ST201.
For Registered Research students. Permission is required from the Head of the Mathematics & Statistics Department.