Course
Applied Statistics to Environment

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

Evaluation

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.

Contact