Number of hours
- Lectures 12.0
- Projects -
- Tutorials 8.0
- Internship -
- Laboratory works -
ECTS
ECTS 22.0
Goal(s)
Objectives
Understanding the concept of random variable in order to be able to make a statistical study in its entirety, from the modeling phase, through the estimation of parameters, and to testing statistical hypotheses.
Learning Outcomes
•Understand the probabilistic concept of the real random variable
•Know the probabilistic vocabulary, real random variables, usual laws to present the statistical approach in its entirety (histograms, probability graphs, parametric estimation, confidence intervals, hypothesis tests, linear regression)
•Conduct a statistical study in its entirety, from the modelling phase, through parameter estimation, to the implementation of hypothesis tests
•Perform descriptive statistical analyses and inferential statistical analyses using statistical tools.
Responsible(s)
-
Content(s)
After a first part on probability (vocabulary, random variables, common laws of probability), the statistical approach is presented in its entirety (histograms, statistical plots, point estimation, confidence intervals, testing statistical hypotheses, linear regression).
If all the tools described in the paper support provided are not being treated in class, this course should enable the students to use them if needed in their professionnal life.
Basic concepts in mathematical analysis.
Accessibility for people with disabilities : please contact us for further information
Test
Assessment procedures defined at the start of the international mobility.
Continuous assessment and final exam
Second session on final exam
Calendar
The course exists in the following branches:
- Curriculum - Pagora Engineer - Apprentice - Semester 6
Additional Information
Course ID : 3FMA1008
Course language(s): 
You can find this course among all other courses.
Environmental security
Déroulement de l’enseignement en salle de cours standard.
Sécurité : RAS
Environnement : RAS
Bibliography
BOULEAU N. Probabilités de l'ingénieur : variables aléatoires et simulation. Paris : Hermann, 2002
ROSS S.M. Introduction to probability models. Amsterdam : London : Paris [etc.] : Elsevier Academic Press, 2007
TASSI P., LEGAIT S. Théorie des probabilités en vue des applications statistiques. Paris : Éd. Technip : Rueil-Malmaison : Institut français du pétrole, 1990
TASSI P. Méthodes statistiques. Paris : Économica, 1989