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Statistique descriptive et éléments de probabilités
Course teacher(s)
Catherine DEHON (Coordinator)ECTS credits
5
Language(s) of instruction
french
Course content
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Introduction to statistics
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Descriptive statistics : one variable
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Probability theory
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Descriptive statistics : bivariate variable
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Time series forecasting
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Discrete random variables
Objectives (and/or specific learning outcomes)
At the end of the course, the students will be able to :
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Master the descriptive statistical concepts with univariate and bivariate quantitative and/or qualitative variables.
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Master the elements of the probability theory and the laws of probability to prepare statistical inference which will be studied in 2nd year.
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Apply the knowledge in situations of the daily life.
Prerequisites and Corequisites
Courses requiring this course
Teaching methods and learning activities
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Theory : 24h ex-cathedra class
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Exercises: 24h exercices in small group
Contribution to the teaching profile
This course contributes to the development of the following skills :
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Use data mining and management techniques as well as financial modeling to develop decision, evaluation or management tools
References, bibliography, and recommended reading
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Dehon, C., Droesbeke J.-J. et Vermandele (2008), Eléments de statistique, Bruxelles, Editions de L'Unviversité de Bruxelles.
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Anderson D., Sweeney D., Williams T. (2001), Statistiques pour l'économie et la gestion, Bruxelles, De Boeck Université.
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Dagnelie P. (1998), Statistique théorique et appliquée. Tome 1: Statistique descriptive et bases de l'inférence statistique, Bruxelles, De Boeck Université.
Other information
Contacts
cdehon@ulb.ac.be
Evaluation
Method(s) of evaluation
- Other
Other
Written exam: 20 points on theoretical (50%) and practical questions (50%)
Mark calculation method (including weighting of intermediary marks)
Written exam: 20 points on theoretical (50%) and practical questions (50%)
Language(s) of evaluation
- french