Universität Wien

040019 FK WMS: Business Statistics 1 (2010W)

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

Summary

1 Nagel
2 Krall
3 Krall
4 Krall

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

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 08.10. 11:30 - 13:00 Hörsaal 3
  • Friday 15.10. 11:30 - 13:00 Hörsaal 3
  • Friday 22.10. 11:30 - 13:00 Hörsaal 3
  • Friday 29.10. 11:30 - 13:00 Hörsaal 3
  • Friday 05.11. 11:30 - 13:00 Hörsaal 3
  • Friday 12.11. 11:30 - 13:00 Hörsaal 3
  • Friday 19.11. 11:30 - 13:00 Hörsaal 3
  • Friday 26.11. 11:30 - 13:00 Hörsaal 3
  • Friday 03.12. 11:30 - 13:00 Hörsaal 3
  • Friday 10.12. 11:30 - 13:00 Hörsaal 3
  • Friday 17.12. 11:30 - 13:00 Hörsaal 3
  • Friday 14.01. 11:30 - 13:00 Hörsaal 3
  • Friday 21.01. 11:30 - 13:00 Hörsaal 3
  • Friday 28.01. 11:30 - 13:00 Hörsaal 3

Group 2

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 04.10. 08:00 - 10:00 Hörsaal 6
  • Monday 11.10. 08:00 - 10:00 Hörsaal 6
  • Monday 18.10. 08:00 - 10:00 Hörsaal 6
  • Monday 25.10. 08:00 - 10:00 Hörsaal 6
  • Monday 08.11. 08:00 - 10:00 Hörsaal 6
  • Monday 15.11. 08:00 - 10:00 Hörsaal 6
  • Monday 22.11. 08:00 - 10:00 Hörsaal 6
  • Monday 29.11. 08:00 - 10:00 Hörsaal 6
  • Monday 29.11. 18:00 - 20:00 AudiMax BWZ
  • Monday 06.12. 08:00 - 10:00 Hörsaal 6
  • Monday 13.12. 08:00 - 10:00 Hörsaal 6
  • Monday 10.01. 08:00 - 10:00 Hörsaal 6
  • Monday 17.01. 08:00 - 10:00 Hörsaal 6
  • Monday 24.01. 08:00 - 10:00 Hörsaal 6
  • Monday 31.01. 08:00 - 10:00 Hörsaal 6
  • Monday 31.01. 18:00 - 20:00 Großer Hörsaal 1

Group 3

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 04.10. 10:00 - 12:00 Hörsaal 9
  • Monday 11.10. 10:00 - 12:00 Hörsaal 9
  • Monday 18.10. 10:00 - 12:00 Hörsaal 9
  • Monday 25.10. 10:00 - 12:00 Hörsaal 9
  • Monday 08.11. 10:00 - 12:00 Hörsaal 9
  • Monday 15.11. 10:00 - 12:00 Hörsaal 9
  • Monday 22.11. 10:00 - 12:00 Hörsaal 9
  • Monday 29.11. 10:00 - 12:00 Hörsaal 9
  • Monday 06.12. 10:00 - 12:00 Hörsaal 9
  • Monday 13.12. 10:00 - 12:00 Hörsaal 9
  • Monday 10.01. 10:00 - 12:00 Hörsaal 9
  • Monday 17.01. 10:00 - 12:00 Hörsaal 9
  • Monday 24.01. 10:00 - 12:00 Hörsaal 9
  • Monday 31.01. 10:00 - 12:00 Hörsaal 9

Group 4

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 04.10. 13:00 - 15:00 Hörsaal 5
  • Monday 11.10. 13:00 - 15:00 Hörsaal 5
  • Monday 18.10. 13:00 - 15:00 Hörsaal 5
  • Monday 25.10. 13:00 - 15:00 Hörsaal 5
  • Monday 08.11. 13:00 - 15:00 Hörsaal 5
  • Monday 15.11. 13:00 - 15:00 Hörsaal 5
  • Monday 22.11. 13:00 - 15:00 Hörsaal 5
  • Monday 29.11. 13:00 - 15:00 Hörsaal 5
  • Monday 06.12. 13:00 - 15:00 Hörsaal 5
  • Monday 13.12. 13:00 - 15:00 Hörsaal 5
  • Monday 10.01. 13:00 - 15:00 Hörsaal 5
  • Monday 17.01. 13:00 - 15:00 Hörsaal 5
  • Monday 24.01. 13:00 - 15:00 Hörsaal 5
  • Monday 31.01. 13:00 - 15:00 Hörsaal 5

Information

Aims, contents and method of the course

Description of Data:
statistics, graphic representation of data

Probability
events and probabilities
combinatorics
conditional probabilities
independent events

Random variables:
discrete probability distributions (Binomial, Hypergeometric, Poisson)
continuous probability distributions (Normal, Exponential, Lognormal)
sampling distributions

Estimation:
confidence intervals for expectations and differences of expectations of normally distributed data
confidence intervals for proportions and differences of proportions

Hypothesis testing for:
expectations and differences of expectations of normally distributed data
proportions and differences of proportions
goodness of fit
independence
equality of two variances

Assessment and permitted materials

two written examinations,
performance in the classroom

Minimum requirements and assessment criteria

Examination topics

a theoretical introduction to each section is given by the lecturer, then students are supposed to solve problems on their own and to present their solutions at the blackboard

Reading list

Brannath/Futschik

Statistik für Wirtschaftswissenschafter

Association in the course directory

Last modified: Mo 07.09.2020 15:28