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Business Statistics

Niveau

1. Study cycle, Bachelor

Learning outcomes of the courses/module

The students are able to: • independently analyze empirical data with suitable statistical methods and interpret the results. • explain the differences between descriptive and inductive statistics. • identify and independently implement essential statistical procedures. • analyze and answer questions from the economic professional practice with statis-tical methods. • competently use the Microsoft Excel software package for a wide range of data analyses and, if necessary, to fall back on alternative software such as SPSS or R. • create and interpret concentration measures for the analysis of e.g. income inequality

Prerequisites for the course

Course: Business Mathematics

Course content

• Basic concepts of statistics • Univariate and multivariate data description • Basics of probability theory and theoretical distributions • Estimation procedures and statistical tests • Software like MS Excel (in-depth) and/or SPSS/R (on an illustrative basis) • Gini coefficient and Herfindahl index

Recommended specialist literature

• Anderson, David R.; Sweeney, Dennis J.; Williams, Thomas A.: Essentials of Modern Business Statistics with MS Excel. South Western • Jaggia, Sanjiv; Kelly, Alison: Business Statistics: Communicating with Numbers. McGraw-Hill Education (latest edition) • De Veaux, Richard D.; Velleman; Paul F.; Sharpe, Norean Radke: Business Statistics, Global Edition. Pearson Education Limited (latest edition)

Assessment methods and criteria

Portfolio

Language

German

Number of ECTS credits awarded

5

Share of e-learning in %

25

Semester hours per week

3.0

Planned teaching and learning method

Blended Learning

Semester/trimester in which the course/module is offered

2

Name of lecturer

Academic year

1

Key figure of the course/module

IBS.BB.02.04

Type of course/module

integrated lecture

Type of course

Compulsory

Internship(s)

none