Universität Wien

040132 UE Statistics 1 (2022W)

2.00 ECTS (1.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Summary

1 MIXED Kalix , Moodle
2 MIXED Köstenberger , Moodle
3 REMOTE Klockmann , Moodle
4 REMOTE Klockmann , Moodle

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).
Registration information is available for each group.

Groups

Group 1

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Thursday 06.10. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 20.10. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 03.11. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 17.11. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 01.12. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 15.12. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 12.01. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 26.01. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Saturday 28.01. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Group 2

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Thursday 06.10. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 20.10. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 03.11. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 17.11. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 01.12. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 15.12. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 19.01. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 26.01. 11:30 - 13:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Saturday 28.01. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Group 3

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Please note: attendance is mandatory at the first exercise date!

Friday 07.10. 11:30 - 13:00 Digital
Friday 21.10. 11:30 - 13:00 Digital
Friday 04.11. 11:30 - 13:00 Digital
Friday 18.11. 11:30 - 13:00 Digital
Friday 02.12. 11:30 - 13:00 Digital
Friday 16.12. 11:30 - 13:00 Digital
Friday 13.01. 11:30 - 13:00 Digital
Friday 27.01. 11:30 - 13:00 Digital
Saturday 28.01. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Group 4

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Please note: attendance is mandatory at the first exercise date!

Friday 07.10. 13:15 - 14:45 Digital
Friday 21.10. 13:15 - 14:45 Digital
Friday 04.11. 13:15 - 14:45 Digital
Friday 18.11. 13:15 - 14:45 Digital
Friday 02.12. 13:15 - 14:45 Digital
Friday 16.12. 13:15 - 14:45 Digital
Friday 13.01. 13:15 - 14:45 Digital
Friday 27.01. 13:15 - 14:45 Digital
Saturday 28.01. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

Objectives:

Exercises with respect to the basics of statistics.

Contents:

1. Event spaces & probability
2. Distribution function, expectation and variance
3. Discrete and continuous distributions
4. Multivariate distributions and confidence intervals
5. Statistical hypothesis testing

Assessment and permitted materials

Presentation of solved problems and a written examination on all topics at the end of the semester.

Minimum requirements and assessment criteria

The final grade is determined as follows:
25% solved problems from the exercise sheets,
75% written examination on all topics

Examination topics

Contents of the topics covered

Reading list

Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2016

Association in the course directory

Last modified: Th 11.05.2023 11:27