˒ Gain methods for the analysis of environmental data with the statistical software R.
˒ Become autonomous in the management of environmental data acquired during an internship.
˒ Understand how your statistical skills will deepen the understanding of your data.
Learn how to use the R software.
Gain basic notions in inferential statistics.
Learn how to select the right statistical methods depending on your hypothesis.
Understand the limits and the conditions for applying those statistical methods.
Run statistical methods on data sets.
Lectures followed by practical work using computers
The studied statistical analysis will be:
Analysis of variance (ANOVA) with 1 or 2 factors
Analysis of Covariance (ANCOVA)
Linear regression, simple and multiple
Principal component analysis
Case study (40% of the global mark for this module): The students will have to work in small groups to write a report about the data they will analyze during class.
Individual exam (60% of the global mark for this module): 2 hours individual test with computer about the studied methods.