Statistical Methods

- Summarize data graphically and numerically, to describe the most important characteristics of the data, and to find a suitable model distribution, - make probabilistic manipulations and calculations, calculate an expected value, and to explain and apply the law of large numbers and the central limit theorem, - calculate and interpret confidence intervals in one- and two-sample problems for means or proportions, - test hypotheses about means and proportions in one- and two-sample problems and to interpret the outcome, - conduct a correlation and linear regression analysis (i.e. estimating and testing), to predict, and to interpret the results, - use the chi-square test for categorical data in various fields of application, explain his/her choice, and interpret the results.