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| STAT0065-2 | Descriptive statistics
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| Duration : | 40h Th, 15h Pr |
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| Number of credits : |
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| Lecturer : | Valérie Henry |
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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 second semester |
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Course contents :
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| The course presents the main theories in descriptive statistics and data analysis. It describes the main graphics of an univariate data set as well as the main measures of location, dispersion and skewness. We also talk about bivariate data sets and chronological series. |
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Learning outcomes of the course :
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| The course wants to give to the students the important tools they need to critically analyse situations related to statistics. It is essential to understand the further main concepts of probability theory, estimation theory and tests theory |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| There is no prerequisities. |
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Planned learning activities and teaching methods :
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| Many exercises will be done during the lessons. Some e-learning sessions will be devoted to the use of Excel in statistics. |
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Mode of delivery (face-to-face ; distance-learning) :
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| The course takes place during the second part of the year. 50 hours will be devoted to lessons at the university, the other ones will be used by students to do works at home. |
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Recommended or required readings :
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| The reference work is "Pratique de la statistique descriptive" G.Haesbroeck et V.Henry. It is available in the Edipac sold by Point de Vue. The slides showed during the classes and the exercises will be available on the Campus Lol@. These are essential to attend to the classes. |
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Assessment methods and criteria :
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| The evaluation will take place in June. The written exam will be about theory and exercises, the practical exam on the computer will be about the use of Excel in statistics and the theory linked with it.
The written exam represents three quarters of the final note. |
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Work placement(s) :
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Organizational remarks :
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Contacts :
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| Teacher : Valérie Henry V.Henry@ulg.ac.be
Bât B31, bureau 2.15
4000 Liège Sart-Tilman. |
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| Items online : |
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| Course's slides and exercises |
| The notes are available on lol@ campus |
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