Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

040132 UE Statistics 1 (2024W)

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

Summary

1 Pastukhov
We 02.10. 09:45-11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
2 Pastukhov
Th 03.10. 16:45-18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
3 Staudner
Tu 01.10. 13:15-14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
4 Nadin
Th 03.10. 15:00-16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock

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

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).
    Register/Deregister for this course

    Lecturers

    Classes (iCal) - next class is marked with N

    • 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

    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

    Reading list

    Slides von F. Huber aus seiner Vorlesung aus dem Sommersemester 2023.
    Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2016.

    Group 2

    max. 50 participants
    Language: English

    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).
      Register/Deregister for this course

      Lecturers

      Classes (iCal) - next class is marked with N

      • 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
      • Thursday 28.11. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
      • Thursday 05.12. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
      • Thursday 12.12. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
      • Thursday 09.01. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
      • Thursday 16.01. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
      • Thursday 23.01. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
      • Thursday 30.01. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß

      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

      Reading list

      Slides von F. Huber aus seiner Vorlesung aus dem Sommersemester 2023.
      Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2016.

      Group 3

      max. 50 participants
      Language: German

      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).
        Register/Deregister for this course

        Lecturers

        Classes (iCal) - next class is marked with N

        • 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
        • Tuesday 03.12. 13:15 - 14:45 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß

        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 onine via Moodle.

        Reading list

        Slides von F. Huber aus seiner Vorlesung aus dem Sommersemester 2023.
        Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2016.

        Group 4

        max. 50 participants
        Language: English

        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).
          Register/Deregister for this course

          Lecturers

          Classes (iCal) - next class is marked with N

          • 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
          • Thursday 21.11. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
          • Thursday 28.11. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
          • Thursday 05.12. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock

          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.

          Probability of events
          Discrete random variables
          Continuous random variables
          Parametric distribution
          Statistical inference.

          Reading list

          Slides von F. Huber aus seiner Vorlesung aus dem Sommersemester 2023.
          Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2016.

          Information

          Assessment and permitted materials

          Midterm in the 4. Session.
          Endterm at the end of the semester.
          Presentation and marking of excercises.

          Minimum requirements and assessment criteria

          The final grade is determined as follows:
          Midterm: 30%
          Endterm: 30%
          Marked exercises: 30%
          Presentations: 10%

          For a passing grade 50% of all points on the mid- and endterm combined are necessary. Additionally at least 50% of exercises have to marked.

          Examination topics

          Contents of the topics covered

          Association in the course directory

          Last modified: Tu 10.09.2024 16:05