Statistique descriptive et éléments de probabilités

• Introduction to statistics

• Descriptive statistics : one variable

• Probability theory

• Descriptive statistics : bivariate variable

• Time series forecasting

• Discrete random variables

At the end of the course, the students will be able to :

• Master the descriptive statistical concepts with univariate and bivariate quantitative and/or qualitative variables.

• Master the elements of the probability theory and the laws of probability to prepare statistical inference which will be studied in 2nd year.

• Apply the knowledge in situations of the daily life.

Courses requiring this course

• Theory : 24h ex-cathedra class

• Exercises: 24h exercices in small group

Contribution to the teaching profile

This course contributes to the development of the following skills :

• Use data mining and management techniques as well as financial modeling to develop decision, evaluation or management tools

References, bibliography, and recommended reading

• Dehon, C., Droesbeke J.-J. et Vermandele (2008), Eléments de statistique, Bruxelles, Editions de L'Unviversité de Bruxelles.

• Anderson D., Sweeney D., Williams T. (2001), Statistiques pour l'économie et la gestion, Bruxelles, De Boeck Université.

• Dagnelie P. (1998), Statistique théorique et appliquée. Tome 1: Statistique descriptive et bases de l'inférence statistique, Bruxelles, De Boeck Université.

Contacts

cdehon@ulb.ac.be

Method(s) of evaluation

• Other

Other

Written exam: 20 points on theoretical (50%) and practical questions (50%)

Mark calculation method (including weighting of intermediary marks)

Written exam: 20 points on theoretical (50%) and practical questions (50%)

Language(s) of evaluation

• french