Warning! The directory is not yet complete and will be amended until the beginning of the term.
040576 VO StEOP: Basic Principles of Statistics (2023W)
Labels
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
- Monday 02.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 03.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 04.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 09.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 10.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 11.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 16.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 17.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 18.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 20.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 23.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 24.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 30.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 31.10. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 06.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 07.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 08.11. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 10.11. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 20.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 27.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 04.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 11.12. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
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 2023/24)
Reading list
Leeb, Hannes: Lecture notes "Grundzüge der Statistik", WS 2023/24. 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: Fr 01.12.2023 11:27