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This entry is from Winter semester 2020/21 and might be obsolete. No current equivalent could be found.
Multivariate Statistical Methods
(dt. Multivariate Statistische Methoden)
Level, degree of commitment | Specialization module, compulsory elective module |
Forms of teaching and learning, workload |
, |
Credit points, formal requirements |
6 CP Course requirement(s): Examination type: Written examination |
Language, Grading |
,The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Business Administration. |
Duration, frequency |
, |
Person in charge of the module's outline |
Contents
Qualification Goals
Students are taught methodological and application skills in statistical analysis techniques. Various multivariate statistical methods are covered in this module. The module strengthens methodological competencies in the area of quantitative methods, especially in the area of statistical analysis procedures.
Students gain in-depth knowledge in specific application-oriented methods. They learn to apply statistical concepts to specific problems, to develop solution methods and to interpret the results appropriately and professionally. They understand the importance and necessity of the assumptions made, recognize consequences of assumption violations, and learn ways to account for assumption violations through procedural modifications. Transfer skills are expected and reinforced.
Prerequisites
None.
Applicability
Module imported from M.Sc. Business Administration.
When studying M.Sc. Business Mathematics, this module can be attended in the study area Applied Modules in Business Mathematics.
Recommended Reading
(not specified)
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2020/21. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:
- Winter 2016/17 (no corresponding element)
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24 (no corresponding element)
The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.
The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.