Universität Wien

040132 UE Statistics 1 (2021S)

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

Summary

1 Kramlinger , Moodle
2 Kramlinger , Moodle
3 Kramlinger , Moodle
4 Kivaranovic , Moodle
5 Kivaranovic , Moodle
6 Bauer , Moodle
7 Kivaranovic , Moodle
8 Bauer , 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

ACHTUNG! Dieser Kurs könnte sich mit UE-Teil der LV 040134 Mathematische Optimierung am Fr, zw. 15:00-18:15 überschneiden. Eventuell nicht für VWL-Studierende geeignet. Bitte genauen Kurs-Termin beim UE-Leiter MathOpt erfragen.

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 05.03. 15:00 - 16:30 Digital
  • Friday 19.03. 15:00 - 16:30 Digital
  • Friday 26.03. 15:00 - 16:30 Digital
  • Friday 16.04. 15:00 - 16:30 Digital
  • Friday 23.04. 15:00 - 16:30 Digital
  • Friday 30.04. 15:00 - 16:30 Digital
  • Friday 07.05. 16:45 - 18:15 Digital

Group 2

ACHTUNG! Dieser Kurs könnte sich mit UE-Teil der LV 040134 Mathematische Optimierung am Fr, zw. 15:00-18:15 überschneiden. Eventuell nicht für VWL-Studierende geeignet. Bitte genauen Kurs-Termin beim UE-Leiter MathOpt erfragen.

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 05.03. 16:45 - 18:15 Digital
  • Friday 19.03. 16:45 - 18:15 Digital
  • Friday 26.03. 16:45 - 18:15 Digital
  • Friday 16.04. 16:45 - 18:15 Digital
  • Friday 23.04. 16:45 - 18:15 Digital
  • Friday 30.04. 16:45 - 18:15 Digital
  • Friday 07.05. 16:45 - 18:15 Digital

Group 3

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 05.03. 18:30 - 20:00 Digital
  • Friday 19.03. 18:30 - 20:00 Digital
  • Friday 26.03. 18:30 - 20:00 Digital
  • Friday 16.04. 18:30 - 20:00 Digital
  • Friday 23.04. 18:30 - 20:00 Digital
  • Friday 30.04. 18:30 - 20:00 Digital
  • Friday 07.05. 16:45 - 18:15 Digital

Group 4

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 03.03. 15:00 - 16:30 Digital
  • Wednesday 10.03. 15:00 - 16:30 Digital
  • Wednesday 17.03. 15:00 - 16:30 Digital
  • Wednesday 24.03. 15:00 - 16:30 Digital
  • Wednesday 14.04. 15:00 - 16:30 Digital
  • Wednesday 28.04. 15:00 - 16:30 Digital
  • Friday 07.05. 16:45 - 18:15 Digital

Group 5

Anwesenheit in der ersten Einheit ist verpflichtend.

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 03.03. 16:45 - 18:15 Digital
  • Wednesday 10.03. 16:45 - 18:15 Digital
  • Wednesday 17.03. 16:45 - 18:15 Digital
  • Wednesday 24.03. 16:45 - 18:15 Digital
  • Wednesday 14.04. 16:45 - 18:15 Digital

Group 6

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 04.03. 16:45 - 18:15 Digital
  • Thursday 11.03. 16:45 - 18:15 Digital
  • Thursday 18.03. 16:45 - 18:15 Digital
  • Thursday 25.03. 16:45 - 18:15 Digital
  • Thursday 15.04. 16:45 - 18:15 Digital
  • Thursday 22.04. 16:45 - 18:15 Digital
  • Friday 07.05. 16:45 - 18:15 Digital

Group 7

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 03.03. 18:30 - 20:00 Digital
  • Wednesday 10.03. 18:30 - 20:00 Digital
  • Wednesday 17.03. 18:30 - 20:00 Digital
  • Wednesday 24.03. 18:30 - 20:00 Digital
  • Wednesday 14.04. 18:30 - 20:00 Digital
  • Wednesday 28.04. 15:00 - 16:30 Digital
  • Friday 07.05. 16:45 - 18:15 Digital

Group 8

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 04.03. 18:30 - 20:00 Digital
  • Thursday 11.03. 18:30 - 20:00 Digital
  • Thursday 18.03. 18:30 - 20:00 Digital
  • Thursday 25.03. 18:30 - 20:00 Digital
  • Thursday 15.04. 18:30 - 20:00 Digital
  • Thursday 22.04. 18:30 - 20:00 Digital
  • Friday 07.05. 16:45 - 18:15 Digital

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

Methods:

Completely online via Moodle.

Assessment and permitted materials

There is a written examination on each topic and a written examination on all topics.

Minimum requirements and assessment criteria

The final grade is determined as follows:
Up to 20%, you may achieve 5% per written examination on each topic
80% written examination on all topics

Examination topics

Contents of the topics covered

Reading list

Lecture script by E. Reschenhofer on his lecture from the summer semester 2016

Association in the course directory

Last modified: Fr 12.05.2023 00:12