Learning outcome, core skills:
The module will provide the students with a basic understanding of descriptive, exploratory and confirmatory statistics to enable them to understand statistical details in scientific publications, apply statistical methods to their own data and to interpret results from statistical analyses. The lecture will cover descriptive and exploratory graphical tools and measures as well as the fundamental principles of confirmatory statistics (statistical point estimates, confidence intervals, statistical tests). Furthermore, it will briefly discuss the concepts of statistical predictions and model choice. In addition to the methodological concepts, the lecture will also comprise an introduction to the R language for statistical computing.