Universität Wien
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040132 UE Statistics 1 (2024W)

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

Summary

1 Pastukhov , Moodle
2 Pastukhov , Moodle
3 Staudner , Moodle
4 Nadin , 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: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 02.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 09.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 16.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 23.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 30.10. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 06.11. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 13.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 20.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 27.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Aims, contents and method of the course

The aim of the course is to provide to students elementary knowledges in probability and statistics so that they gain practical skills in statistical problem solving.

Contents:

1. event spaces & probability
2. distribution function, expected value and variance
3. discrete and continuous distributions
4. descriptive statistics and estimation
5. statistical hypothesis tests

Reading list

Collection of problems (available on Moodle)
Material from lecture "Statistics 1 (VO)" from Summer Semester 2024

Group 2

max. 50 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 03.10. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 10.10. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 17.10. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 24.10. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 31.10. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 07.11. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 14.11. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 21.11. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 27.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Aims, contents and method of the course

The aim of the course is to provide to students elementary knowledges in probability and statistics so that they gain practical skills in statistical problem solving.

Contents:

1. event spaces & probability
2. distribution function, expected value and variance
3. discrete and continuous distributions
4. descriptive statistics and estimation
5. statistical hypothesis tests

Reading list

Collection of problems (available on Moodle)
Material from lecture "Statistics 1 (VO)" from Summer Semester 2024

Group 3

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 01.10. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 08.10. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 15.10. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 22.10. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 29.10. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 05.11. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 12.11. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 19.11. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 26.11. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 27.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 03.12. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Aims, contents and method of the course

The aim of the course is to provide to students elementary knowledge in probability and statistics so that they gain practical skills in statistical problem solving.

Contents:

1. event spaces & probability
2. distribution function, expected value and variance
3. discrete and continuous distributions
4. descriptive statistics and estimation
5. statistical hypothesis tests

Reading list

Collection of problems (available on Moodle)
Material from lecture "Statistics 1 (VO)" from Summer Semester 2024

Group 4

max. 50 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 03.10. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 10.10. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 17.10. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 24.10. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 31.10. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 07.11. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 14.11. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 20.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 27.11. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 05.12. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 10.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Aims, contents and method of the course

The aim of the course is to provide to students elementary knowledges in probability and statistics so that they gain practical skills in statistical problem solving.

Contents:

1. event spaces & probability
2. distribution function, expected value and variance
3. discrete and continuous distributions
4. descriptive statistics and estimation
5. statistical hypothesis tests

Reading list

Collection of problems (available on Moodle)
Material from lecture "Statistics 1 (VO)" from Summer Semester 2024

Information

Assessment and permitted materials

Endterm and/or retake at the end of the semester.
Presentation and marking of exercises.

Minimum requirements and assessment criteria

The final grade is determined as follows:
Endterm: 50%
Marked exercises: 30%
Presentations: 20%

For a passing grade, 50% of all points are necessary. Additionally, at least 50% of exercises have to marked and 50% of the endterm points must be obtained.

Examination topics

Contents of the topics covered

Association in the course directory

Last modified: Tu 12.11.2024 11:45