316101 Grundlagen der Statistik (V) (WiSe 2019/2020)
Contents, comment
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Diese Lehrveranstaltung vermittelt Grundlagen explorativer und schließender Statistik. Die Inhalte umfassen unter Anderem Histogramme, Kerndichteschätzung, Maximum Likelihood Theorie, Konfidenzintervalle, statistische Tests und die Grundidee von Bootstrap. Die Konzepte werden auch praktisch am Rechner (mit R) illustriert. Die Vorlesung wird durch eine Übung begleitet.
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| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 24-B-ORST Operations Research / Statistik | Grundlagen der Statistik | Student information | |
| 24-ORST Operations Research / Statistik | Grundlagen der Statistik | Student information | |
| 31-SW-GdS Grundlagen der Statistik | Grundlagen der Statistik | Graded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Studieren ab 50 |
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- Faculty of Business Administration and Economics
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