Number of hours
- Lectures -
- Projects -
- Tutorials -
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 22.0
Goal(s)
Learning outcomes :
- To understand the probabilistic concept of the real random variable
- To conduct a statistical study in its entirety, from the modelling phase, through parameter estimation, to the implementation of hypothesis tests
- To know the probabilistic vocabulary, real random variables, usual laws to present the statistical approach as a whole (histograms, probability graphs, parametric estimation, confidence intervals, hypothesis tests, linear regression)
- To have the statistical tools to perform descriptive statistical analyses and inferential statistical analyses
Responsible(s)
Yvan PIGEONNAT
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.
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.
Basic concepts in mathematical analysis.
Test
Written exam, paper support and one personnal concept map allowed.
1ère session: examen écrit sur 20 points.
2ème session: oral de 30 minutes ou examen écrit suivant l'affluence.
Calendar
The course exists in the following branches:
- Curriculum - Pagora Engineer - Student - Semester 6
Additional Information
Course ID : 3FME1008
Course language(s): 
You can find this course among all other courses.
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