The students have basic knowledge in applied data analysis. They know the main statistical measures of central tendency and dispersion of a dataset as well as their interpretation. They can visualize the data graphically in different ways and describe characteristic features. Furthermore, they are able to apply the Gaussian and Student t-distributions and make statements about confidence intervals and significances.

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Measures of central tendency and dispersion, graphical methods: histogram, scatter plot, cumulative frequency, probability plot, covariance, correlation, Gaussian distribution, student-t distribution, confidence interval, significance

W. Polasek, EDA Explorative Datenanalyse, Springer Verlag
J. Schwarze, Grundlagen der Statistik I: Beschreibende Verfahren, NWB Verlag
R. Kosfeld Statistik: Grundlagen - Methoden - Beispiele, Springer Verlag

Lecture with integrated exercises

Written or oral exam