Universität Wien FIND

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040576 VO StEOP: Basic Principles of Statistics (2020W)

6.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
STEOP

Um Zugang zu Arbeitsmaterialien, zusätzlichen Informationen, Tutoriumsterminen etc. zu haben, bitte um selbstständige Anmeldung (Selbsteinschreibung) auf die Moodle-Lernplattform zur Vorlesung. Moodle wird zu Semesterbeginn freigeschalten und auch im Sommersemester weiter geführt.

Registration/Deregistration

Details

max. 999 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

The lectures can be attended in-class or via live-stream. Further details are available on moodle.

Thursday 01.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 05.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 06.10. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 08.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 12.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 13.10. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 15.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 19.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 20.10. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 22.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 27.10. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 29.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 03.11. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 05.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 09.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 10.11. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 12.11. 11:30 - 13:00 Digital
Monday 23.11. 11:30 - 13:00 Digital
Thursday 26.11. 11:30 - 13:00 Digital
Monday 30.11. 11:30 - 13:00 Digital
Thursday 03.12. 11:30 - 13:00 Digital
Monday 07.12. 11:30 - 13:00 Digital

Information

Aims, contents and method of the course

Statistical experiments; visualisation; random variables, probabilities and distributions; distribution functions and quantile functions; moments and expected values; law of large numbers; central limit theorem; bootstrap; estimation of parameters; confidence intervals; hypothesis tests; linear regression; principal component analysis.

Assessment and permitted materials

Written exam about the material covered in class

ATTENTION: Separate dates for exams with different mode and credit points:

- Multiple Choice for students of BW / IBW / VWL & EC Betreibswirtschaftliche Methoden
- open questions for students of Statistics & EC Grundlagen der Statistik

For students of other disciplines who take the exam for their EC: please check yourself how many ECTS you need with your SPL and register for the according exam.

for the exam you HAVE to bring:
- students ID or other official ID (passport, identity card)
- distribution tables (download from moodle)

allowed to use (OPTIONAL):
- handwritten formulary (1 A4 sheet, only formulas no examples)
- pocket calculator

Minimum requirements and assessment criteria

Written exam regarding the contents of the lecture

Examination topics

Content of the lecture (see script: Grundzüge der Statistik version WS 2020/21)

Reading list

Leeb, Hannes: Lecture notes "Grundzüge der Statistik", WS 2020/21. Available ONLY(!) from Facultas at the Shop at Oskar-Morgenstern-Platz 1 or https://www.facultas.at/list?autor=Leeb+Hannes.

Older versions of the lecture notes are incomplete and out of date - and hence are not recommended.

Association in the course directory

Last modified: Tu 08.12.2020 08:07