5.00 credits
45.0 h + 20.0 h
Q2
Teacher(s)
De Winne Rudy;
Language
French
Prerequisites
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
- Definition of statistical inference and reminders about probabilities.
- Sampling: population and sample, sampling methods, sampling distribution of means, sampling distribution of proportions.
- Estimation of population parameters: point estimate and interval estimate, maximum likelihood estimate, confidence interval for the mean or variance of a population, confidence interval for the proportion within a population.
- Hypothesis testing: making statistical hypotheses, performing hypothesis testing (one-tailed and two-tailed tests), comparison of two or more parameters (analysis of variance), fitting of theoretical distributions to frequency distributions of a sample.
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 | Given the « competencies referential » linked to the LSM Bachelor in Management and Business Engineering, this course mainly develops the following competencies:
At the end of the class, the student will be able to construct a sample, analyze the data from it and infer conclusions about the population. It will be able to identify precisely the conditions for the application of a statistical method and verify them. |
Bibliography
- GIARD V. (2003), Statistique appliquée à la gestion, Economica.
- SPIEGEL M., SCHILLER, J., STRINIVASAN A. (2002) Probability and Statistics, 2nd ed., McGraw-Hill.
Faculty or entity
CLSM