Aims

The goal of that course is to introduce students in veterinary science to the rational use of statistical methods for the analysis of data in their discipline.

Main themes

- Introduction to probability ; discrete (binomiale, multinomial and Poisson) and continuous (normal, chi-square, Student and Fisher-Snedecor) distributions.

- Descriptive statistics (measures of location and dispersion, empirical distribution, histograms, graphs, dependence measures and their graphical representations)

- Introduction to statistical inference: point estimation, confidence intervals, hypothesis tests ; application to the comparison of means and variances.

- ANOVA I and ANOVA II models.

- Linear models : linear and multiple regression.

- Simple, partial and multiple correlations.

- Inference methods for discrete data and contigency tables.

- Introduction to the planning of experiments.

Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Prerequisites: Basic courses in mathematics (PHY1114 - PHY1115 or equivalent).

Evaluation : the evaluation includes a theoretical part and a practical part as well as project.

An introduction to a data analysis software will be proposed during the practicals.

Other credits in programs