Data Analysis for the Life Sciences
This module will provide a general introduction to statistics with specific examples for the biosciences, bringing students up to speed on the structure of datasets and how one infers differences. This will include an introduction to the design of experiments, concept s of randomisation and blocking; Regression and Multiple regression; ANOVA (including posthoc testing); principle tests of signal versus noise. Students will also be introduced to appropriate graphing and representation of data. Students will be expected to complete a substantial piece of coursework related to a component of the indicative content.