Module manual




Mathematical foundations

Teaching methods Lecture
Learning target / Competences

Students acquire the basic statistical knowledge required for an economics degree. Methodological and problem-solving skills as well as analytical abilities are fostered. They master basic statistical methods and are able to apply them confidently using business-related case studies. They learn how to use software for problem-solving purposes.

Duration 1 Semester
Hours per week 6.0
Classes 90 h
Individual / Group work: 150 h
Workload 240 h
ECTS 8.0
Requirements for awarding credit points

Written exam (K120)

Responsible person

Prof. Dr. Joachim Reiter

Recommended semester 2. Semester
Frequency Every sem.

Bachelor’s degree programs:
Betriebswirtschaft Logistik und Handel



Type Lecture
Nr. W0175
Hours per week 6.0
  • Basic principles of static analysis
  • Data preparation and statistical presentation methods
  • One- and multidimensional frequency distributions
  • Data analysis using parameters
  • Regression and correlation analysis
  • Time series analysis
  • Forecasting methods and quality
  • Fundamentals of probability theory
  • Discrete and continuous probability distributions
  • Approximations and limit theorems
  • Sampling distributions
  • Point and interval estimation
  • Statistical test procedures (hypothesis tests)

Lecture script, additional materials and exercises are available on the University’s e-learning platform.
Bärtl, M.: Kurzes Tutorium Statistik. YouTube. (zuletzt abgerufen 18.01.2022)
Reiter, J.: Statistik-Fallstudien mit Excel: Klausurenkurs für Studierende der Betriebswirtschaft im Bachelor. Springer Gabler. Wiesbaden, 2017.
Kronthaler, F.: Statistik angewandt mit Excel. 2. ed. Springer Spektrum. Berlin, Heidelberg, 2021.
Bleymüller, J./ Weißbach, R./ Dörre, A. (2020): Statistik für Wirtschaftswissenschaftler, 18. Ed., Vahlen, Munich
Schwarze, J. (2009): Grundlagen der Statistik: Band 1 - Beschreibende Verfahren. 11. Ed. Verlag Neue Wirtschafts-Briefe, Herne, Berlin
Schwarze, J. (2009): Grundlagen der Statistik: Band 2 - Wahrscheinlichkeitsrechnung und induktive Statistik. 9. ed. Verlag Neue Wirtschafts-Briefe, Herne, Berlin