wir150 - Statistics I for Economists (Complete module description)

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	https://www.uni-oldenburg.de/wire/
Language of instruction	German
Duration (semesters)	1 Semester
Module frequency	jährlich
Module capacity	unlimited

Type of course	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