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
• 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
• 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)
• 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