Applied Statistics to Environment

  • Level: Master 1
  • Period: Semester 2
  • Language: English
  • Credits: 3 ECTS
  • Teacher/Coordinator: Karin Sahmer

Main Objectives

˒ 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.

Skills Developed

  • 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.


General Content

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.



Karin Sahmer
Professor - Researcher
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