Content

1) Introduction: defining qualitative and quantitative statistical variables, the usefulness of statistics, the notions of population, sample, individual, and survey.
 
2) The basics of descriptive statistics: defining the concepts of absolute and relative frequency, descriptive tables and graphs.
 
3) Statistics of position, dispersion, shape and concentration (Gini index)
 
4) Bivariate data analysis: distinguishing causality and correlation, statistical independence, marginal and conditional distributions, contingency tables, regression.
 
6) Introduction to probability theory: axiomatics, combinatorial analysis, conditional probability and independence, law of total probabilities and Bayes' theorem.
 
7) Discrete random variables, expectation and variance, parametric distributions, bivariate distributions.

Assessment method

Formative evaluation (Test):
Written test halfway through the term.
 
Formal assessment (Exam):
Written test (3h); closed book. The exam consists of two parts, one on descriptive statistics, the other on discrete probability theory.

Language of instruction

French