040637 FK WMS: Business Statistics 2 (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
Termine Tutorium: 8., 22. und 29.11., 10.00-13.00 PC 03
max. 60 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 09.10. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 16.10. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 23.10. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 30.10. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 06.11. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 08.11. 10:00 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 13.11. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 20.11. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 22.11. 10:00 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 27.11. 18:00 - 20:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 28.11. 16:00 - 18:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 28.11. 18:00 - 20:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 29.11. 10:00 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 04.12. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 06.12. 13:00 - 16:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 11.12. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 18.12. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 08.01. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 10.01. 15:00 - 16:30 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 15.01. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 22.01. 18:00 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 29.01. 08:00 - 10:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 31.01. 08:00 - 10:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Aims, contents and method of the course
Group 2
Tutorium: Mo, 11.11., Mo, 18.11., Mo, 25.11. MO 11.11.2013,14.00-17.00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
max. 60 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Friday 11.10. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 18.10. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 25.10. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 08.11. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 11.11. 14:00 - 17:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 15.11. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 18.11. 14:00 - 17:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 22.11. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 25.11. 14:00 - 16:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 25.11. 19:00 - 20:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 29.11. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 06.12. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 13.12. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 16.12. 10:00 - 16:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 07.01. 10:00 - 16:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 08.01. 15:00 - 17:00 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 10.01. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 17.01. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 24.01. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 31.01. 14:00 - 16:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Aims, contents and method of the course
from Brannath/Futschik/Krall:
Chapter 7 Simple regression
Chapter 8 Multiple regression
Chapter 9 Analysis of variance
Chapter 7 Simple regression
Chapter 8 Multiple regression
Chapter 9 Analysis of variance
Group 3
max. 60 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Friday 11.10. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 18.10. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 25.10. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 30.10. 18:00 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 08.11. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 15.11. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 20.11. 17:00 - 18:00 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 22.11. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 29.11. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 06.12. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 13.12. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 18.12. 15:00 - 18:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 18.12. 18:00 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 08.01. 09:00 - 11:00 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 08.01. 14:00 - 18:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 10.01. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 17.01. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 24.01. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 31.01. 16:00 - 18:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Aims, contents and method of the course
from Brannath/Futschik/Krall:
Chapter 7 Simple regression
Chapter 8 Multiple regression
Chapter 9 Analysis of variance
Chapter 7 Simple regression
Chapter 8 Multiple regression
Chapter 9 Analysis of variance
Group 4
max. 60 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Monday 07.10. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 14.10. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 21.10. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 28.10. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 04.11. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 11.11. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 18.11. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 25.11. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 02.12. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 09.12. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 16.12. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 13.01. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 20.01. 08:00 - 10:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 27.01. 08:00 - 10:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Aims, contents and method of the course
This is a 2-hour course:
- Simple linear regression:
Scatterplot, correlation, tests for the coefficients of correlation and regression
- Multiple linear regression:
Coefficient of determination, F-test, t-tests of regression coefficients, dummy-variables, prediction, residual analysis
- Analysis of variance:
Boxplots, one-way analysis of variance, interactionplots, two-way analysis of variance
- Analysis of categorical data:
Chi-squared-test of goodness-of-fit, contingency tables, barplots (grouped, stacked), test of homogenity, test of independence, odds ratio, logistic regressionAn obligatory part of the course is a Tutorial in Statistics.
The contents are:
- Data handling in SPSS
- Analysing data in SPSS
- Conduction of a small empirical survey to a given research question (formulation of hypotheses, development of a questionnaire, data collection, evaluation of the data, summary of the results in a report)
- Simple linear regression:
Scatterplot, correlation, tests for the coefficients of correlation and regression
- Multiple linear regression:
Coefficient of determination, F-test, t-tests of regression coefficients, dummy-variables, prediction, residual analysis
- Analysis of variance:
Boxplots, one-way analysis of variance, interactionplots, two-way analysis of variance
- Analysis of categorical data:
Chi-squared-test of goodness-of-fit, contingency tables, barplots (grouped, stacked), test of homogenity, test of independence, odds ratio, logistic regressionAn obligatory part of the course is a Tutorial in Statistics.
The contents are:
- Data handling in SPSS
- Analysing data in SPSS
- Conduction of a small empirical survey to a given research question (formulation of hypotheses, development of a questionnaire, data collection, evaluation of the data, summary of the results in a report)
Information
Assessment and permitted materials
For the course evaluation, the received points from following three parts will be taken into account:
- Tests (midterm- and end of term): 15 and 25 Points
- Tutorial project: 15 Points
- Cooperation: 10 Points
- Tests (midterm- and end of term): 15 and 25 Points
- Tutorial project: 15 Points
- Cooperation: 10 Points
Minimum requirements and assessment criteria
The course partially covers theory of the three topics mentioned in content, followed by examples and calculations.
The tutorial will be dedicated to empirical project (planning, data collection,
analysis with statistical software, report).
The tutorial will be dedicated to empirical project (planning, data collection,
analysis with statistical software, report).
Examination topics
Reading list
Brannath/Futschik/Krall: Statistik im Studium der Wirtschaftswissenschaften: Eine Einführung anhand von Beispielen.
Association in the course directory
Last modified: Mo 07.09.2020 15:29
Chapter 7 Simple regression
Chapter 8 Multiple regression
Chapter 9 Analysis of variance