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Statistics and Market Research

Module name (EN):
Name of module in study programme. It should be precise and clear.
Statistics and Market Research
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
International Business, Bachelor, ASPO 01.10.2008
Module code: BAIBA-240
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P420-0498
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
6V (6 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
6
Semester: 2
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam

[updated 30.07.2021]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

BAIBA-240 (P420-0498) International Business, Bachelor, ASPO 01.10.2008 , semester 2, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
90 class hours (= 67.5 clock hours) over a 15-week period.
The total student study time is 180 hours (equivalent to 6 ECTS credits).
There are therefore 112.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
BAIBA-140 Mathematics


[updated 15.02.2011]
Recommended as prerequisite for:
BAIBA-520 International Marketing


[updated 14.02.2011]
Module coordinator:
Prof. Dr. Teresa Melo
Lecturer:
Lehrbeauftragte


[updated 15.02.2011]
Learning outcomes:
- After successfully completing this module, students will be familiar with and be able to apply terms and methods from the field of descriptive statistics.
- They will be able to examine statistical data for correlations.
 
- Students will have mastered basic concepts and contexts of probability theory.
- They will understand and be able to apply basic distribution models.  
 
- They will be familiar with the most important methods and instruments used in market research.
- Students will be able to critically examine advertising campaigns, packaging design, new product developments, etc.
 
- They will be able to communicate the benefits of market research results to companies.
 


[updated 30.07.2021]
Module content:
Statistics
Descriptive statistics:
- Classification of features
- Frequency tables for classified and non-classified data
- Measures of location, dispersion and concentration
- Connection of statistical characteristics: contingency table, correlation, rank correlation
- Linear regression
 
 
Probability calculation:
- Basic principles of set theory, elementary set operations
- Probability terms: Laplace distribution, statistical
  probability, Kolmogorov’s probability theory
- Elementary computation rules, total probability theorem, Bayesian theorem
- Random variables and distribution models (including binomial and normal distribution)
 
Market Research
- Insight into quantitative and qualitative market research
- Designin the research process and selecting methods for it
- Survey techniques
- Designing the questionnaire
- Sampling
- Evaluation methods
• Representing and interpreting market research results

[updated 30.07.2021]
Teaching methods/Media:
Lecture and tutorial (students solve tasks independently with subsequent discussion of the solutions), lecture script and exercises available


[updated 30.07.2021]
Recommended or required reading:
- Fahrmeir/Künstler/Pigeot/Tutz: Statistik: Der Weg zur Datenanalyse, 6. überarbeitete Auflage, Springer-Verlag, Berlin, Heidelberg, 2007
- Schira: Statistische Methoden der VWL und BWL: Theorie und Praxis, 3., aktualisierte Auflage, Pearson Studium, 2009
- Mosler/Schmid: Beschreibende Statistik und Wirtschaftsstatistik, 3. Auflage, Springer-Verlag, Berlin, Heidelberg, 2006
- Mosler/Schmid: Wahrscheinlichkeitsrechnung und schließende Statistik, 2. Auflage, Springer-Verlag, Berlin, Heidelberg, 2006  
- Bamberg/Baur/Krapp: Statistik, 14. Auflage, Oldenbourg, 2008
- Toutenburg/Heumann: Deskriptive Statistik: Eine Einführung in Methoden und Anwendungen mit R und SPSS, 6. Auflage, Springer-Verlag, Berlin, Heidelberg, 2008


[updated 30.07.2021]
[Fri Mar 29 09:10:11 CET 2024, CKEY=isum, BKEY=ibw, CID=BAIBA-240, LANGUAGE=en, DATE=29.03.2024]