Statistics

Starting from scratch to analyze biological data: describing, testing, and modeling simple experimental protocols;

Gaining an understanding of the fundamental properties of linear models used in simple regressions and simple ANOVAs;

Incorporating the essence of biological data into models: collinearity, dependence, spatial structure, non-normal distributions....

Presenting data and results from models.

The ability to design an experimental protocol or conduct field observations that address a biological question;

Being able to build a model to analyze biological data, with all their imperfections;

The ability to understand the protocols and models published in recent papers;

The ability to create a figure that addresses biological questions using statistical tools.

not afraid of mathematical notation

 Any experience with R is a plus

Comprehensive ongoing assessment: 100%

Hourly volumes:

            CM: 12:00 p.m.

            TD: 9 a.m.

            Practical Training: 0 hours

            Land: 0 h

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            SPS: 12:00 a.m.

            Seminars: 0 hours

            Excluding UM: 0 h