This module provides training in statistics for environmental scientists. We emphasize the use of software to analyze real environmental data. We do not assume extensive prior knowledge. We will teach the essential theory alongside the practical components.
By the end of this module students will be able to:
1. make sense of the statistical terms that appear in scientific papers and the media
2. summarize data using graphs, tables, and numerical summaries
3. choose appropriate statistical methods to answer research questions
4. use statistical software to apply these methods, and interpret the output
Lectures will provide background on the theory. Workshops and problem sessions will give practical experience in data analysis. Feedback will be given on these sessions, for example through peer marking. Individual and group projects will use all the skills taught in lectures and workshops.