Universität Wien
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040019 FK WMS: Business Statistics 1 (2012W)

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

Summary

1 Hanel
2 Krall , Moodle
3 Krall , Moodle
4 Krall , Moodle
5 Milovic

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 05.10. 14:00 - 16:00 Hörsaal 6
  • Friday 12.10. 14:00 - 16:00 Hörsaal 6
  • Friday 19.10. 14:00 - 16:00 Hörsaal 6
  • Friday 09.11. 14:00 - 16:00 Hörsaal 6
  • Friday 16.11. 14:00 - 16:00 Hörsaal 6
  • Friday 23.11. 14:00 - 16:00 Hörsaal 6
  • Friday 30.11. 14:00 - 16:00 Hörsaal 6
  • Friday 07.12. 14:00 - 16:00 Hörsaal 6
  • Friday 14.12. 14:00 - 16:00 Hörsaal 6
  • Friday 11.01. 14:00 - 16:00 Hörsaal 6
  • Friday 18.01. 14:00 - 16:00 Hörsaal 6
  • Friday 25.01. 13:00 - 14:00 Hörsaal 11
  • Friday 25.01. 14:00 - 16:00 Hörsaal 6

Group 2

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 01.10. 08:00 - 10:00 Hörsaal 6
  • Monday 08.10. 08:00 - 10:00 Hörsaal 6
  • Monday 15.10. 08:00 - 10:00 Hörsaal 6
  • Monday 22.10. 08:00 - 10:00 Hörsaal 6
  • Monday 29.10. 08:00 - 10:00 Hörsaal 6
  • Monday 05.11. 08:00 - 10:00 Hörsaal 6
  • Monday 12.11. 08:00 - 10:00 Hörsaal 6
  • Monday 19.11. 08:00 - 10:00 Hörsaal 6
  • Wednesday 21.11. 18:00 - 20:00 AudiMax BWZ
  • Monday 26.11. 08:00 - 10:00 Hörsaal 6
  • Monday 03.12. 08:00 - 10:00 Hörsaal 6
  • Monday 10.12. 08:00 - 10:00 Hörsaal 6
  • Monday 17.12. 08:00 - 10:00 Hörsaal 6
  • Tuesday 18.12. 18:00 - 20:00 Großer Hörsaal 1
  • Monday 07.01. 08:00 - 10:00 Hörsaal 6
  • Monday 14.01. 08:00 - 10:00 Hörsaal 6
  • Monday 21.01. 08:00 - 10:00 Hörsaal 6
  • Monday 28.01. 08:00 - 10:00 Hörsaal 6

Group 3

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 01.10. 10:00 - 12:00 Hörsaal 9
  • Monday 08.10. 10:00 - 12:00 Hörsaal 9
  • Monday 15.10. 10:00 - 12:00 Hörsaal 9
  • Monday 22.10. 10:00 - 12:00 Hörsaal 9
  • Monday 29.10. 10:00 - 12:00 Hörsaal 9
  • Monday 05.11. 10:00 - 12:00 Hörsaal 9
  • Monday 12.11. 10:00 - 12:00 Hörsaal 9
  • Monday 19.11. 10:00 - 12:00 Hörsaal 9
  • Monday 26.11. 10:00 - 12:00 Hörsaal 9
  • Monday 03.12. 10:00 - 12:00 Hörsaal 9
  • Monday 10.12. 10:00 - 12:00 Hörsaal 9
  • Monday 17.12. 10:00 - 12:00 Hörsaal 9
  • Tuesday 18.12. 18:00 - 20:00 Großer Hörsaal 1
  • Monday 07.01. 10:00 - 12:00 Hörsaal 9
  • Monday 14.01. 10:00 - 12:00 Hörsaal 9
  • Monday 21.01. 10:00 - 12:00 Hörsaal 9
  • Monday 28.01. 10:00 - 12:00 Hörsaal 9

Group 4

max. 50 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 03.10. 17:00 - 19:00 Hörsaal 3
  • Wednesday 10.10. 17:00 - 19:00 Hörsaal 3
  • Wednesday 17.10. 17:00 - 19:00 Hörsaal 3
  • Wednesday 24.10. 17:00 - 19:00 Hörsaal 3
  • Wednesday 31.10. 17:00 - 19:00 Hörsaal 3
  • Wednesday 07.11. 17:00 - 19:00 Hörsaal 3
  • Wednesday 14.11. 17:00 - 19:00 Hörsaal 3
  • Wednesday 21.11. 17:00 - 19:00 Hörsaal 3
  • Wednesday 28.11. 17:00 - 19:00 Hörsaal 3
  • Wednesday 05.12. 17:00 - 19:00 Hörsaal 3
  • Wednesday 12.12. 17:00 - 19:00 Hörsaal 3
  • Tuesday 18.12. 18:00 - 20:00 Großer Hörsaal 1
  • Wednesday 09.01. 17:00 - 19:00 Hörsaal 3
  • Wednesday 16.01. 17:00 - 19:00 Hörsaal 3
  • Wednesday 23.01. 17:00 - 19:00 Hörsaal 3
  • Wednesday 30.01. 17:00 - 19:00 Hörsaal 3

Group 5

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 02.10. 11:30 - 13:30 Hörsaal 4
  • Tuesday 09.10. 11:30 - 13:30 Hörsaal 4
  • Tuesday 16.10. 11:30 - 13:30 Hörsaal 4
  • Tuesday 23.10. 11:30 - 13:30 Hörsaal 4
  • Tuesday 30.10. 11:30 - 13:30 Hörsaal 4
  • Tuesday 06.11. 11:30 - 13:30 Hörsaal 4
  • Tuesday 13.11. 11:30 - 13:30 Hörsaal 4
  • Tuesday 20.11. 11:30 - 13:30 Hörsaal 4
  • Tuesday 27.11. 11:30 - 13:30 Hörsaal 4
  • Tuesday 04.12. 11:30 - 13:30 Hörsaal 4
  • Tuesday 11.12. 11:30 - 13:30 Hörsaal 4
  • Tuesday 18.12. 11:30 - 13:30 Hörsaal 4
  • Tuesday 08.01. 11:30 - 13:30 Hörsaal 4
  • Tuesday 15.01. 11:30 - 13:30 Hörsaal 4
  • Tuesday 22.01. 11:30 - 13:30 Hörsaal 4
  • Monday 28.01. 12:00 - 14:00 Hörsaal 9
  • Tuesday 29.01. 11:30 - 13:30 Hörsaal 4

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