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040576 VO StEOP: Basic Principles of Statistics (2022W)
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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
The course is taught in-class and, in parallel, on zoom. To gain access to the moodle page (for class material, tutoring session, etc.), you need to sign up for the class using the link (Register/Deregister for this course) above.
- Monday 03.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 04.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 05.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 10.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 11.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 12.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 17.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 18.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 19.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 24.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 25.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 28.10. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 31.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 04.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 08.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 09.11. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 21.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 28.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 05.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 12.12. 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 (1 A4 sheet, only formulas no examples)
- pocket calculator
- 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 (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 lecture notes: Grundzüge der Statistik, WS 2022/23)
Reading list
Leeb, Hannes: Lecture notes "Grundzüge der Statistik", WS 2022/23. Available ONLY (!) at Facultas (NIG) or online at https://www.facultas.at/list?autor=Leeb+Hannes.Older versions of the lecture notes are incomplete and may no longer be up to date, and hence are not recommended!
Association in the course directory
Last modified: Mo 21.11.2022 09:28