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
• 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
number of ECTS credits allocated
eLearning quota in percent
planned learning activities and teaching methods
semester/trimester when the course unit is delivered
name of lecturer(s)
Prof. (FH) Dr. Peter Dietrich
course unit code
type of course unit
mode of delivery