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Module name (EN): Statistics
Degree programme: International Business, Bachelor, ASPO 01.10.2017
Module code: BIBW-230
Hours per semester week / Teaching method: 4V (4 hours per week)
ECTS credits: 5
Semester: 2
Mandatory course: yes
Language of instruction:
Written exam (90 minutes / can be repeated semesterly)

[updated 14.03.2018]
Applicability / Curricular relevance:
BIBW-230 International Business, Bachelor, ASPO 01.10.2013, semester 2, mandatory course
BIBW-230 International Business, Bachelor, ASPO 01.10.2017, semester 2, mandatory course
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 01.10.2017]
Recommended as prerequisite for:
BIBW-441 International Market Research (focus module)

[updated 01.10.2017]
Module coordinator:
Prof. Dr. Teresa Melo
Lecturer: Prof. Dr. Teresa Melo

[updated 01.10.2017]
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
- 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 schließčende 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]
[Thu Dec  2 13:51:49 CET 2021, CKEY=isc, BKEY=ibw3, CID=BIBW-230, LANGUAGE=en, DATE=02.12.2021]