Teaching form Lecture (18h), Practical Exercise (12h)

Examination form Written exam, 90 min Entry requirements / Goal Theoretical knowledge of statistical methods and practical skills of environmental data analysis Content The knowledge of how to collect and analyze environmental data is essential for any empirical science. The course strengthens fundamentals of probability theory as well as standard methods of descriptive and analytical statistics. A thorough foundation of inferential statistics and test theory is combined with the introduction of selected parametric and non-parametric tests. The following approaches and methods are introduced and trained: contingency table analysis, sampling approaches for immobile and mobile objects, cluster an