International Business Studies PT
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Business Statistics (E)

level of course unit

1. Study cycle, Bachelor

Learning outcomes of course unit

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 and co-requisites

Course: Business Mathematics

course contents

• 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 or required reading

• 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

Online tasks, term paper, exam

language of instruction

English

number of ECTS credits allocated

5

eLearning quota in percent

25

course-hours-per-week (chw)

3

planned learning activities and teaching methods

Blended Learning

semester/trimester when the course unit is delivered

3

name of lecturer(s)

Prof. (FH) Dr. Peter Dietrich

course unit code

07.BB.EFM.3

type of course unit

integrated lecture

mode of delivery

Compulsory

work placement(s)

none