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| STAT0002-2 | Descriptive Statistics
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| Duration : | 20h Th, 10h Pr |
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| Number of credits : |
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| Lecturer : | Philippe Lambert |
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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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| This course consists of about ten theoretical lectures related to descriptive statistics. The graphical and numerical tools summarizing the information available in univariate data are first described. Elementary strategies enabling to quantify and to represent graphically the association between several variables are also studied. Finally, survey sampling is tackled with the main probabilist survey plans. Estimation of means and proportions are tackled in that framework. |
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Learning outcomes of the course :
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| To understand and to be able to use the basic tools in descriptive statistics ; to study the statistical bases of survey sampling for the estimation of means and proportions in such a framework. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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Planned learning activities and teaching methods :
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| Six practicals will be organized to help the students to solve the different types of exercises illustrating the theoretical lectures. For each session, training tests will be made available through the e-campus platform in addition to the exercises to be pepared. |
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Mode of delivery (face-to-face ; distance-learning) :
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| The theoretical lectures and the practicals will take place during the 1st semester on a weekly basis. |
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Recommended or required readings :
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| The slides used during the course will be made available. |
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Assessment methods and criteria :
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| A written test will be organised during the exam sessions of January and August-September. |
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Work placement(s) :
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Organizational remarks :
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| Attending the theoretical lectures is compulsory: it is a necessary condition to access the practicals. |
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Contacts :
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| Philippe LAMBERT, Institut des sciences humaines et sociales, Bât B31, local R.54, tél: 04/366.59.90, email: p.lambert@ulg.ac.be |
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| Items online : |
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| Website |
| Lecture notes, exercises (see also e-campus platform) and practical information: |
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