040019 FK WMS: Business Statistics 1 (2013W)
Continuous assessment of course work
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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