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| STAT1206-1 | Fundamental statistics
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| Duration : | 30h Th, 30h Pr |
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| Number of credits : |
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| Lecturer : | Yves Brostaux |
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Language(s) of instruction :
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| French language |
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Organisation and examination :
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| Teaching in the first semester, review in January |
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Course contents :
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| Descriptive statistics
- univariate
- bivariate and multivariate
Probability and probability distributions
- probability and random variables
- important univariate and bivariate distributions
Statistical inference
- sampling distributions
- parameter estimation
- hypothesis testing |
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Learning outcomes of the course :
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| To learn the elements of descriptive statistics and the principles of the statistical methods.
After completing the course the student is expected to
- summarize data by means of tables, graphs and numerical measures,
- calculate probabilities of events,
- make correct use of the commonly used probability distributions,
- correctly interpret the results of usual statistical inference. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Prerequisites
MATH0493-1 Mathématique générale, 1re partie : Analyse 1, calcul différentiel
Co-requisites
MATH0485-3 Mathématique générale, 1ère partie : Analyse 2, calcul intégral |
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Planned learning activities and teaching methods :
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| Lectures
Exercises
Tutorial |
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Mode of delivery (face-to-face ; distance-learning) :
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| Face-to-face |
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Recommended or required readings :
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| - Syllabus and tutorial.
- Reference book : DAGNELIE P. [2007]. Statistique théorique et appliquée. Tome 1: statistique descriptive et bases de l'inférence statistique. Bruxelles, De Boeck, 511 p. |
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Assessment methods and criteria :
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| Written examination (100%) |
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Work placement(s) :
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Organizational remarks :
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| Lectures : 30 h
Practical works : 30 h
Participation in all organized learning activities is mandatory |
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Contacts :
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| Brostaux, Yves (Senior lecturer)
Education and research
081 62 24 69
y.brostaux@ulg.ac.be(Rodolphe.Palm@ulg.ac.be)(Rodolphe.Palm@ulg.ac.be) |
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| Items online : |
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| Tutorial |
| Case studies and simulations |
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| eCampus |
| Course and practical sessions materials |
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