 | Study programme 2022-2023 | Français | |
| Multivariate Inferential Statistics: Procedures | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| P-SMSL-060 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 15 | 5 | 0 | 0 | 0 | Q2 |
Content of Learning Activity
Statistical Tests of hypothesis: parametric analyses of variance (simple, for completely nested device, in two-crossed criteria), analyzes the covariance, nonparametric analyses of variance (Friedman, L of Page, Kruskal-Wallis).
Analysis of the link between variables: notion of correlation, multiple correlation, partial correlation, not linear correlation, nonparametric correlation.
Theoretical concepts and exercices.
Required Learning Resources/Tools
Available from Moodle :
Syllabus ;
Collection of solved exercises and to solve ;
Copies of slides
illustrative videos
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Hybrid
Type of Teaching Activity/Activities
- Cours magistraux
- Exercices dirigés
- Démonstrations
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)