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040019 FK WMS: Business Statistics 1 (2013W)
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 Fr 06.09.2013 09:00 to Fr 20.09.2013 14:00
- Registration is open from We 25.09.2013 09:00 to Th 26.09.2013 17:00
- Deregistration possible until Mo 14.10.2013 23:59
Registration information is available for each group.
Groups
Group 1
max. 60 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 01.10. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 08.10. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 15.10. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 22.10. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 29.10. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 05.11. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 12.11. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 19.11. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 26.11. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 03.12. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 10.12. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 17.12. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 07.01. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 14.01. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 21.01. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 28.01. 14:00 - 16:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Aims, contents and method of the course
Assessment and permitted materials
Homework test, Midterm exam and Final exam
Group 2
max. 60 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 02.10. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 09.10. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 16.10. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 23.10. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 30.10. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 06.11. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 13.11. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 20.11. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 27.11. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 04.12. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 11.12. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 18.12. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 08.01. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 15.01. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 22.01. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 29.01. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Aims, contents and method of the course
Description of Data:
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
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
Assessment and permitted materials
Homework test, Midterm exam and Final exam
Reading list
Brannath/Futschik
Statistik für Wirtschaftswissenschafter
Statistik für Wirtschaftswissenschafter
Group 3
max. 60 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Friday 04.10. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 11.10. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 18.10. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 25.10. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 08.11. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 15.11. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 22.11. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 29.11. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 06.12. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 13.12. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 10.01. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 17.01. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 24.01. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 31.01. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Aims, contents and method of the course
Description of Data:
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
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
Assessment and permitted materials
two written examinations,
performance in the classroom
performance in the classroom
Reading list
Brannath/FutschikStatistik für Wirtschaftswissenschafter
Group 4
Anwesenheitspflicht bei der Vorbesprechung! Wenn Sie verhindert sind, schreiben Sie mir bitte VOR der Vorbesprechung eine Mail anchristoph.krall@univie.ac.at
max. 60 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Monday 07.10. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 14.10. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 21.10. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 24.10. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 28.10. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 04.11. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 11.11. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 18.11. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 25.11. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 02.12. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 09.12. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 16.12. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 13.01. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 20.01. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 27.01. 08:00 - 10:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 27.01. 10:15 - 11:15 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Thursday 30.01. 18:30 - 20:00 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
Aims, contents and method of the course
Description of Data:
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
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
Assessment and permitted materials
two written examinations,
performance in the classroom
performance in the classroom
Reading list
Brannath/FutschikStatistik für Wirtschaftswissenschafter
Group 5
max. 60 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 07.10. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 14.10. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 21.10. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 28.10. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 04.11. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 11.11. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 18.11. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 25.11. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 02.12. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 09.12. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 16.12. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 13.01. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 20.01. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 27.01. 18:00 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 30.01. 12:00 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Group 6
max. 60 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 10.10. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 17.10. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 24.10. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 31.10. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 07.11. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 14.11. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 21.11. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 28.11. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 05.12. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 12.12. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 09.01. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 16.01. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 23.01. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 30.01. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 30.01. 11:00 - 13:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Aims, contents and method of the course
Description of Data:
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
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
Reading list
Brannath/Futschik/Krall: Statistik im Studium der Wirtschaftswissenschaften: Eine Einführung anhand von Beispielen.
Information
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
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