After successful completion of the course, students are able to: explain clearly concepts from probability and statistics, evaluate various quantities for probability distributions and random variables, perform statistical computations, and implement this in the statistical program R.

Classical point estimation (parametric and non-parametric methods), confidence estimation, statistical tests, linear models

This course is an introductory statistics and probability theory course. Main concepts of the course will be presented in the lectures LV Nr. 105.692 and then will be practiced and deepened in the Exercise sessions LV Nr. 105.693. The focus is on methods and tools of descriptive and inferential statistics, core concepts of probability theory and implementation of the statistical analysis methods. 

Exercises will involve solving problems and the use of R for computation, simulation and visualization. You will need to have installed R Studio on your computer. You will not be expected to use R to do any advance computer programming. No previous knowledge of R is necessary, the necessary learning outcomes for R are achieved within the framework of the VO and UE. The R software can be downloaded from the CRAN website

https://cran.r-project.org

PLEASE NOTE: The exercise groups start in teaching week 2. You are required to register for one of the exercise groups listed below. 

Exercises will take place on Thursdays at the following times:

Group A: Tue 8:00 -10:00 in Sem.R. DA grün 05

Group C: Tue 10:15 - 12:00 in FH Hörsaal 4

Group F: Tue 14:15 - 16:00 in Sem.R. DA grün 03 A 

Detailed description and plan can be found in TUWEL. 

Ongoing performance control

The understanding of basic probability theory, linear algebra and calculus is required. R is used throughout the course (in both VO and UE) and no prior knowledge of R is needed.