040019 FK WMS: Business Statistics 1 (2008W)
Continuous assessment of course work
Labels
Summary
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 is open from Mo 01.09.2008 09:00 to Su 21.09.2008 23:59
- Registration is open from Fr 26.09.2008 09:00 to Fr 31.10.2008 23:59
- Deregistration possible until Fr 31.10.2008 23:59
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 03.10. 11:30 - 13:00 Hörsaal 3
- Friday 10.10. 11:30 - 13:00 Hörsaal 3
- Friday 17.10. 11:30 - 13:00 Hörsaal 3
- Friday 24.10. 11:30 - 13:00 Hörsaal 3
- Friday 31.10. 11:30 - 13:00 Hörsaal 3
- Friday 07.11. 11:30 - 13:00 Hörsaal 3
- Friday 14.11. 11:30 - 13:00 Hörsaal 3
- Friday 21.11. 11:30 - 13:00 Hörsaal 3
- Friday 28.11. 11:30 - 13:00 Hörsaal 3
- Friday 05.12. 11:30 - 13:00 Hörsaal 3
- Friday 12.12. 11:30 - 13:00 Hörsaal 3
- Friday 19.12. 11:30 - 13:00 Hörsaal 3
- Friday 09.01. 11:30 - 13:00 Hörsaal 3
- Friday 16.01. 11:30 - 13:00 Hörsaal 3
- Friday 23.01. 11:30 - 13:00 Hörsaal 3
- Friday 30.01. 11:30 - 13:00 Hörsaal 3
Group 2
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 06.10. 08:00 - 10:00 Hörsaal 6
- Monday 13.10. 08:00 - 10:00 Hörsaal 6
- Monday 20.10. 08:00 - 10:00 Hörsaal 6
- Monday 27.10. 08:00 - 10:00 Hörsaal 6
- Monday 03.11. 08:00 - 10:00 Hörsaal 6
- Monday 10.11. 08:00 - 10:00 Hörsaal 6
- Monday 17.11. 08:00 - 10:00 Hörsaal 6
- Monday 24.11. 08:00 - 10:00 Hörsaal 6
- Monday 01.12. 08:00 - 09:00 Großer Hörsaal 1
- Monday 15.12. 08:00 - 10:00 Hörsaal 6
- Monday 12.01. 08:00 - 10:00 Hörsaal 6
- Monday 19.01. 08:00 - 10:00 Hörsaal 6
- Monday 26.01. 08:00 - 10:00 Hörsaal 6
- Tuesday 27.01. 08:00 - 09:00 Großer Hörsaal 1
Group 3
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 06.10. 10:00 - 12:00 Hörsaal 9
- Monday 13.10. 10:00 - 12:00 Hörsaal 9
- Monday 20.10. 10:00 - 12:00 Hörsaal 9
- Monday 27.10. 10:00 - 12:00 Hörsaal 9
- Monday 03.11. 10:00 - 12:00 Hörsaal 9
- Monday 10.11. 10:00 - 12:00 Hörsaal 9
- Monday 17.11. 10:00 - 12:00 Hörsaal 9
- Monday 24.11. 10:00 - 12:00 Hörsaal 9
- Monday 01.12. 10:00 - 12:00 Hörsaal 9
- Monday 15.12. 10:00 - 12:00 Hörsaal 9
- Monday 12.01. 10:00 - 12:00 Hörsaal 9
- Monday 19.01. 10:00 - 12:00 Hörsaal 9
- Monday 26.01. 10:00 - 12:00 Hörsaal 9
Group 4
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 06.10. 13:00 - 15:00 Hörsaal 5
- Monday 13.10. 13:00 - 15:00 Hörsaal 5
- Monday 20.10. 13:00 - 15:00 Hörsaal 5
- Monday 27.10. 13:00 - 15:00 Hörsaal 5
- Monday 03.11. 13:00 - 15:00 Hörsaal 5
- Monday 10.11. 13:00 - 15:00 Hörsaal 5
- Monday 17.11. 13:00 - 15:00 Hörsaal 5
- Monday 24.11. 13:00 - 15:00 Hörsaal 5
- Monday 01.12. 13:00 - 15:00 Hörsaal 5
- Monday 15.12. 13:00 - 15:00 Hörsaal 5
- Monday 12.01. 13:00 - 15:00 Hörsaal 5
- Monday 19.01. 13:00 - 15:00 Hörsaal 5
- Monday 26.01. 13:00 - 15:00 Hörsaal 5
Information
Aims, contents and method of the course
Assessment and permitted materials
two written examinations,
performance in the classroom
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/FutschikStatistik für Wirtschaftswissenschafter
Association in the course directory
Last modified: Mo 07.09.2020 15:28
statistics, graphic representation of dataProbability
events and probabilities
combinatorics
conditional probabilities
independent eventsRandom variables:
discrete probability distributions (Binomial, Hypergeometric, Poisson)
continuous probability distributions (Normal, Exponential, Lognormal)
sampling distributionsEstimation:
confidence intervals for expectations and differences of expectations of normally distributed data
confidence intervals for proportions and differences of proportionsHypothesis testing for:
expectations and differences of expectations of normally distributed data
proportions and differences of proportions
goodness of fit
independence
equality of two variances