040576 VO StEOP: Basic Principles of Statistics (2025W)
Labels
MIXED
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
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 01.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 06.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 07.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 08.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 10.10. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 13.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 14.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 15.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 20.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 21.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 22.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 27.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 28.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 29.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 03.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 04.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 05.11. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 17.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 24.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 01.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 15.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
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 classATTENTION: Separate dates for exams with different mode and credit points:- Multiple Choice for students of BW / IBW / VWL & EC Betreibswirtschaftliche Methoden (5 ECTS)
- Open questions for students of Statistics & EC Grundlagen der Statistik (6 ECTS)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)During the exam, you MAY (optionally) use:
- handwritten formulary for the multiple choice exam (1 A4 sheet, only formulas no examples)
- pocket calculatorFurther details will be posted on the exam's moodle page.
- Open questions for students of Statistics & EC Grundlagen der Statistik (6 ECTS)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)During the exam, you MAY (optionally) use:
- handwritten formulary for the multiple choice exam (1 A4 sheet, only formulas no examples)
- pocket calculatorFurther details will be posted on the exam's moodle page.
Minimum requirements and assessment criteria
Written exam regarding the contents of the lecture
Examination topics
Content of the lecture (see lecture notes: Grundzüge der Statistik, WS 2025/26)
Reading list
Leeb, Hannes: Skriptum "Grundzüge der Statistik", WS 2025/26. Erhältlich NUR (!) bei Facultas in der Universitätsstraße 12, 1090 Wien, bzw. online unter https://www.facultas.at/list?autor=Leeb+Hannes.Ältere Versionen des Skriptums sind unvollständig und nicht mehr aktuell - und sind daher nicht zu empfehlen.
Association in the course directory
Last modified: Tu 30.09.2025 14:26