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
                                
                            Semester hours per week
Planned teaching and learning method
                                    Blended Learning
                                
                            Semester/trimester in which the course/module is offered
                                    2
                                
                            