This module consists of a full course in statistics and data analysis from a non-mathematical viewpoint. It covers both parametric and non-parametric methods, up to and including generalised linear models. Other topics include data types, graphs, statistics, estimation and testing, categorical and continuous responses, and sampling strategies and designs of experiments.
After taking this module, students will be able to design a sensible experiment or sampling scheme and perform exploratory analysis. They will be able to decide on sensible statistical analysis, including a choice between parametric and non-parametric testing, if relevant, and perform that analysis in SPSS followed by interpretation of the results. They should also be able to realise when the analysis that they need to perform is beyond the materials covered in the module and that they should therefore consult a statistician.