wir150 - Statistics I for Economists (Complete module description)

wir150 - Statistics I for Economists (Complete module description)

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Module label Statistics I for Economists
Module code wir150
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Business Administration, Economics and Law (Business Administration and Business Education)
Applicability of the module
  • Bachelor's Programme Business Administration and Law (Bachelor) > Aufbaubereich Wirtschaftswissenschaften
  • Bachelor's Programme Business Informatics (Bachelor) > Aufbaucurriculum-Wahlbereich Mathematik
  • Bachelor's Programme Economics and Business Administration (Bachelor) > Akzentsetzungsmodule
  • Bachelor's Programme Sustainability Economics (Bachelor) > Aufbaumodule
  • Dual-Subject Bachelor's Programme Economics and Business Administration (Bachelor) > Schwerpunkt Berufliche Bildung
  • Dual-Subject Bachelor's Programme Economics and Business Administration (Bachelor) > Schwerpunkt Management und Ökonomie
Responsible persons
  • Lehrenden, Die im Modul (authorised to take exams)
  • Stecking, Ralf Werner (module responsibility)
Prerequisites
Skills to be acquired in this module
Students
  • will understand the fundamental terms of descriptive and inductive statistics.
  • will be able to choose and calculate appropriate measures and methods in order to describe empirical data properly.
  • are familiar with concepts of probability theory and will be able to transfer statistical results from sample to population.
Module contents
Measuring and tabular / graphic representation of the data, summary statistics (arithmetic mean, statistical dispersion), two-dimensional distributions (graphic / tabular depiction, statistical independence, contingency, simple linear regression, and correlation), fundaments of probability theory and probability distribution, sampling distributions, estimation and test methods.
Recommended reading
Litz, H.-P. (2003): Statistische Methoden in den Wirtschafts- und Sozialwissenschaften (3. Aufl.), München
Mittag, H.J. (2015): Statistik: Eine interaktive Einführung, (4. Aufl.), Berlin
Schira, J. (2016): Statistische Methoden der VWL und BWL (5. Aufl.), München
Wewel, M. (2014): Statistik im Bachelor-Studium der BWL und VWL (3. Aufl.), München
Links
Language of instruction German
Duration (semesters) 1 Semester
Module frequency jährlich
Module capacity unlimited
Type of module je nach Studiengang Pflicht oder Wahlpflicht
Module level ---
Type of course Comment SWS Frequency Workload of compulsory attendance
Lecture 2 28
Tutorial 2 28
Exercises (optional) WiSe 0
Total module attendance time 56 h
Examination Prüfungszeiten Type of examination
Final exam of module
end of semester
written exam