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040019 FK WMS: Business Statistics 1 (2009W)
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 We 09.09.2009 09:00 to Tu 22.09.2009 17:00
- Registration is open from Mo 28.09.2009 09:00 to Tu 29.09.2009 17:00
- Deregistration possible until We 14.10.2009 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 09.10. 11:30 - 13:00 Hörsaal 3
- Friday 16.10. 11:30 - 13:00 Hörsaal 3
- Friday 23.10. 11:30 - 13:00 Hörsaal 3
- Friday 30.10. 11:30 - 13:00 Hörsaal 3
- Friday 06.11. 11:30 - 13:00 Hörsaal 3
- Friday 13.11. 11:30 - 13:00 Hörsaal 3
- Friday 20.11. 11:30 - 13:00 Hörsaal 3
- Friday 27.11. 11:30 - 13:00 Hörsaal 3
- Friday 04.12. 11:30 - 13:00 Hörsaal 3
- Friday 11.12. 11:30 - 13:00 Hörsaal 3
- Friday 18.12. 11:30 - 13:00 Hörsaal 3
- Friday 08.01. 11:30 - 13:00 Hörsaal 3
- Friday 15.01. 11:30 - 13:00 Hörsaal 3
- Friday 22.01. 11:30 - 13:00 Hörsaal 3
- Friday 29.01. 11:30 - 13:00 Hörsaal 3
Group 2
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 05.10. 08:00 - 10:00 Hörsaal 6
- Monday 12.10. 08:00 - 10:00 Hörsaal 6
- Monday 19.10. 08:00 - 10:00 Hörsaal 6
- Monday 09.11. 08:00 - 10:00 Hörsaal 6
- Monday 16.11. 08:00 - 10:00 Hörsaal 6
- Monday 23.11. 08:00 - 10:00 Hörsaal 6
- Monday 30.11. 08:00 - 10:00 Hörsaal 6
- Tuesday 01.12. 08:00 - 09:15 Großer Hörsaal 2
- Monday 07.12. 08:00 - 10:00 Hörsaal 6
- Monday 14.12. 08:00 - 10:00 Hörsaal 6
- Monday 11.01. 08:00 - 10:00 Hörsaal 6
- Monday 18.01. 08:00 - 10:00 Hörsaal 6
- Monday 25.01. 08:00 - 10:00 Hörsaal 6
- Tuesday 26.01. 08:00 - 09:15 Großer Hörsaal 2
Group 3
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 05.10. 10:00 - 12:00 Hörsaal 9
- Monday 12.10. 10:00 - 12:00 Hörsaal 9
- Monday 19.10. 10:00 - 12:00 Hörsaal 9
- Monday 09.11. 10:00 - 12:00 Hörsaal 9
- Monday 16.11. 10:00 - 12:00 Hörsaal 9
- Monday 23.11. 10:00 - 12:00 Hörsaal 9
- Monday 30.11. 10:00 - 12:00 Hörsaal 9
- Monday 07.12. 10:00 - 12:00 Hörsaal 9
- Monday 14.12. 10:00 - 12:00 Hörsaal 9
- Monday 11.01. 10:00 - 12:00 Hörsaal 9
- Monday 18.01. 10:00 - 12:00 Hörsaal 9
- Monday 25.01. 10:00 - 12:00 Hörsaal 9
Group 4
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 05.10. 13:00 - 15:00 Hörsaal 5
- Monday 12.10. 13:00 - 15:00 Hörsaal 5
- Monday 19.10. 13:00 - 15:00 Hörsaal 5
- Monday 09.11. 13:00 - 15:00 Hörsaal 5
- Monday 16.11. 13:00 - 15:00 Hörsaal 5
- Monday 23.11. 13:00 - 15:00 Hörsaal 5
- Monday 30.11. 13:00 - 15:00 Hörsaal 5
- Monday 07.12. 13:00 - 15:00 Hörsaal 5
- Monday 14.12. 13:00 - 15:00 Hörsaal 5
- Monday 11.01. 13:00 - 15:00 Hörsaal 5
- Monday 18.01. 13:00 - 15:00 Hörsaal 5
- Monday 25.01. 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