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Statistics

Module name (EN):
Name of module in study programme. It should be precise and clear.
Statistics
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
International Business, Bachelor, ASPO 01.10.2013
Module code: BIBW-230
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.
P420-0223
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.
4V (4 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.
5
Semester: 2
Mandatory course: yes
Language of instruction:
English/German
Assessment:
Written exam (90 minutes / can be repeated semesterly)

[updated 14.03.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

BIBW-230 (P420-0223) International Business, Bachelor, ASPO 01.10.2013 , semester 2, mandatory course
BIBW-230 (P420-0223) International Business, Bachelor, ASPO 01.10.2017 , 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).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
BIBW-140 Mathematics


[updated 04.02.2020]
Recommended as prerequisite for:
BIBW-441 International Market Research (focus module)


[updated 04.02.2020]
Module coordinator:
Prof. Dr. Teresa Melo
Lecturer:
Dozierende des Studiengangs


[updated 04.02.2020]
Learning outcomes:
After successfully completing this module students will be able to:
 
- describe basic economic concepts of descriptive statistics for
  univariate and bivariate data analysis,
- apply concepts for the graphical presentation of empirical data,
- select suitable methods for statistical data analysis and
  clearly defined research subjects,
- identify correlations and dependencies between
  statistical features,
- describe and model random phenomena using concepts from the probability theory,
- describe basic methods from the probability theory
  and apply them to exemplary economic situations,
- apply the most important discrete and continuous probability distributions
  (e. g. binomial and normal distributions),
- explain basic procedures of inferential statistics such as the principle of point
  and interval estimators and the testing of hypotheses,
- solve business practice problems with the help of adequate
  statistical methods and interpret the results obtained,
- understand possible applications in other fields of business studies and their practice,
 
- know the limits of the statistical methodology used and
  discuss them critically.
 


[updated 04.02.2020]
Module content:
Descriptive statistics:
- Classification of features
- Frequency tables for classified and nonclassified data
- Graphical representation of univariate data sets
- Description of univariate datasets using measures of central tendency, dispersion and
  concentration
- Bivariate data analysis: graphical representation of data sets and
  investigation of
  the correlation of statistical variables (contingency, correlation,   
  rank correlation)
- Linear regression
 
 
Probability calculation:
- Probability terms: Laplace distribution, statistical
  probability, Kolmogorov´s probability theory
- Elementary calculation rules, total probability theorem, Bayesian theorem
- Discrete and continuous random variables
- Special distribution models (e.g. binomial and normal distribution)
 
Inferential statistics:
- Properties and construction of estimators
- Estimation of parameters (point and interval estimation)
- Formulation of statistical hypotheses
- Test procedure for expected values, proportional values and variances
 


[updated 14.03.2018]
Teaching methods/Media:
Lecture and discussion in a large group using transparencies (projectors) and the blackboard (theory and example calculations).
The lecture will be supplemented by exercises and tutorials. In order to support independent work, a large number of exercise sheets covering the wide range topics in this module will be provided. Afterwards, the solutions will be discussed with the students.
Both the lecture notes and the exercise sheets will be available to students in electronic form.


[updated 14.03.2018]
Recommended or required reading:
Bamberg, Baur, Krapp: Statistik, 14. korr. Auflage, Oldenbourg, 2008
Bamberg, Baur, Krapp: Statistik - Arbeitsbuch, 8. überarb. Auflage, Oldenbourg, München, 2008
Caputo, Fahrmeir, Künstler, Lang, Pigeot-Kübler, Tutz: Arbeitsbuch Statistik, 5. Auflage, Springer, Berlin, 2009
Fahrmeir, Künstler, Pigeot, Tutz: Statistik: Der Weg zur Datenanalyse, 6. überarbeitete Auflage, Springer-Verlag, Berlin, Heidelberg, 2007
Mosler, Schmid: Beschreibende Statistik und Wirtschaftsstatistik, 3. Auflage, Springer-Verlag, Berlin, Heidelberg, 2006
Mosler, Schmid: Wahrscheinlichkeitsrechnung und schlieߟende Statistik, 2. Auflage, Springer-Verlag, Berlin, Heidelberg, 2006
Schira: Statistische Methoden der VWL und BWL: Theorie und Praxis, 3., aktualisierte Auflage, Pearson Studium, 2009
Schwarze: Grundlagen der Statistik, Band 1, 11. vollständig über. Auflage, Reihe: NWB Studium Betriebswirtschaft, nwb Verlag, 2009
Schwarze: Grundlagen der Statistik, Band 2: Wahrscheinlichkeitsrechnung und induktive Statistik, 9. vollständig über. Auflage, Reihe: NWB Studium Betriebswirtschaft, nwb Verlag, 2009
Toutenburg, Heumann: Arbeitsbuch zur deskriptiven und induktiven Statistik, 2. Auflage, Springer, 2009
Toutenburg, Heumann: Descriptive statistics: Eine Einführung in Methoden und Anwendungen mit R und SPSS, 6. Auflage, Springer-Verlag, Berlin, Heidelberg, 2008
Toutenburg, Heumann: Induktive Statistik: Eine Einführung mit R und SPSS, 4. überab. und erw. Auflage, Springer-Verlag, Berlin, Heidelberg, 2008
 
English literature:
Aczel: Complete Business Statistics, McGraw Hill, 2006
Bowerman, O´Connell, Murphree: Business Statistics in Practice, 6th edition, McGraw-Hill/Irvin, 2011
Dretzke: Statistics with Microsoft Excel, 4th edition, Pearson, 2009
Field: Discovering Statistics using SPSS, 3rd edition, SAGE Publications, 2009
Sweeney, Williams, Anderson: Fundamentals of Business Statistics, 6th edition, Cengage Learning Emea, 2011
 


[updated 14.03.2018]
 
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