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040397 FK nBWM INF: Appl. Multivariate Stat.f.Business Stud. (2011S)

Applied Multivariate Statistics for Business Students

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Details

max. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 02.03. 16:00 - 19:00 EDV-Labor 3
Wednesday 09.03. 16:00 - 19:00 EDV-Labor 3
Wednesday 16.03. 16:00 - 19:00 EDV-Labor 3
Wednesday 23.03. 16:00 - 19:00 EDV-Labor 3
Wednesday 30.03. 16:00 - 19:00 EDV-Labor 3
Wednesday 06.04. 16:00 - 19:00 EDV-Labor 3
Wednesday 13.04. 16:00 - 19:00 EDV-Labor 3
Wednesday 04.05. 16:00 - 19:00 EDV-Labor 3
Wednesday 11.05. 16:00 - 19:00 EDV-Labor 3
Wednesday 18.05. 16:00 - 19:00 EDV-Labor 3
Wednesday 25.05. 16:00 - 19:00 EDV-Labor 3
Wednesday 01.06. 16:00 - 19:00 EDV-Labor 3
Wednesday 08.06. 16:00 - 19:00 EDV-Labor 3
Wednesday 15.06. 16:00 - 19:00 EDV-Labor 3
Wednesday 22.06. 16:00 - 19:00 EDV-Labor 3
Wednesday 29.06. 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%)

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 2008

S. Landau, B.S. Everitt: A Handbook of Statistical Analysis Using SPSS

Association in the course directory

Last modified: Mo 07.09.2020 15:29