Data Analysis for the Life Sciences

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Semester: 1

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.