Information on individual educational components (ECTS-Course descriptions) per semester

Knowledge of mathematics and statistics at Matura level is required. In particular the topics

• Solving and transforming equations
• Reading and interpreting a mathematical formula (e.g. that of variance)

cannot be repeated in the course. This basic knowledge must be acquired independently if necessary.

Basic skills in EXCEL must also be assumed (in case of doubt, solid beginner's knowledge can be acquired through self-study with suitable tutorials):

• Syntax (row reference, column reference, formula input, text input vs. number formats)
• Cell and number formats
• Language settings
• Fixing cell references
• Creating simple graphics
• Helpful shortcuts

• Descriptive statistics
• Scale levels
• Evaluation of univariate data sets (location, scattering parameters, frequencies)
• Evaluation of bi- and multivariate data sets (contingency coefficient, rank correlation, correlation, regression)
• Probability calculation
• Random variables: Probability, density, distribution function
• Special distributions: Hypergeometric, binomial, normal, t, F, Chi² distribution
• Conclusive statistics
• Point estimation
• Interval estimation
• Hypothesis testing
• Focus on the analysis of survey data

One of the tasks of business administration is to measure and describe processes and facts in economic life or in the business environment and to draw conclusions from them about more generally valid facts. A basic understanding of statistics is elementary for the competence structure of graduates of International Business Administration.

The students are able to calculate the position and scatter parameters as well as correlation measures that make sense for the respective data and interpret them. They are able to present (also extensive) data sets in tabular form and graphically clearly.

The students know the meaning of the term significance and have understood the basic idea of the confidence interval and hypothesis testing. They can select the appropriate probability theoretical description (distribution) for real situations and calculate the probability of typical events. For correlation and difference hypotheses, the students can select suitable hypothesis tests depending on the available data and test the hypothesis for significance.

The students are able to calculate and interpret simple functional correlations with the help of the regression calculation and can evaluate the quality of the adjustment.

Excel can be used sensibly for statistical evaluations.

Interactive course with lecture, case studies, exercises in individual and group work

Written exam (also computer-based)

None

Monka, Michael; Schönbeck, Nadine; Voß, Werner (2008): Statistik am PC. Lösungen mit Excel. München: Hanser Verlag.

Schira, Josef (2012): Statistische Methoden der VWL und BWL. Theorie und Praxis. München: Pearson Studium.

Bortz, Jürgen (2005): Statistik für Human- und Sozialwissenschaftler. Heidelberg: Springer Medizin Verlag.

Classes without compulsory attendance supplemented by asynchronous teaching units for the presentation of elementary basics, which are assumed as given knowledge