040397 FK nBWM INF: Appl. Multivariate Stat.f.Business Stud. (2012S)
Applied Multivariate Statistics for Business Students
Continuous assessment of course work
Labels
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 Th 09.02.2012 09:00 to Mo 20.02.2012 17:00
- Registration is open from Mo 27.02.2012 09:00 to Tu 28.02.2012 17:00
- Deregistration possible until We 14.03.2012 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
07.03.
16:00 - 19:00
EDV-Labor 3
Wednesday
14.03.
16:00 - 19:00
EDV-Labor 3
Wednesday
21.03.
16:00 - 19:00
EDV-Labor 3
Wednesday
28.03.
16:00 - 19:00
EDV-Labor 3
Wednesday
18.04.
16:00 - 19:00
EDV-Labor 3
Wednesday
25.04.
16:00 - 19:00
EDV-Labor 3
Wednesday
02.05.
16:00 - 19:00
EDV-Labor 3
Wednesday
09.05.
16:00 - 19:00
EDV-Labor 3
Wednesday
16.05.
16:00 - 19:00
EDV-Labor 3
Wednesday
23.05.
16:00 - 19:00
EDV-Labor 3
Wednesday
30.05.
16:00 - 19:00
EDV-Labor 3
Wednesday
06.06.
16:00 - 19:00
EDV-Labor 3
Wednesday
13.06.
16:00 - 19:00
EDV-Labor 3
Wednesday
20.06.
16:00 - 19:00
EDV-Labor 3
Wednesday
27.06.
16:00 - 19:00
EDV-Labor 3
Information
Aims, contents and method of the course
Topics: Multivariate Regression, ANOVA and MANOVA, Logistic Regression, Discriminant Analysis, Cluster Analysis, Principal Component and Factor Analysis, Analysis of contingency tables (loglinear models and correspondence analysis)
Assessment and permitted materials
Attandance of the lectures (20%) (three units missing allowed);
Presentation about a selected topic (40%);
Final discussion about the contents (40%)
Presentation about a selected topic (40%);
Final discussion about the contents (40%)
Minimum requirements and assessment criteria
Application oriented knowledge about basic multivariate techniques.
Examination topics
Lectures covering the topics from a conceptional methodological point of view, application of the methods in examples.
Reading list
Backhaus - Erichson - Plinke - Weiber: Multivariate Analysemethoden, 12. Auflage, Springer 2008S. Landau, B.S. Everitt: A Handbook of Statistical Analysis Using SPSS
Association in the course directory
Last modified: Mo 07.09.2020 15:29