At the end of this module, the student will have understood and be able to explain (main concepts) :
- Parameter estimation, confidence interval
- Hypothesis testing
- Principal components analyses and applications
- Different methods of samping
The student will be able to realize on genuine data statistical estimation, tests, principal component analysis, correspondence analysis, adequate sampling and to interpretate results.
Form of assessment
The evaluation of outcome prior learning is made as a continuous training during the semester. According ot the teaching, the assessment will be different: as a written exam, an oral exam, a record, a written report, peers review...