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 Tuesdays via zoom at the following times:
Group A: Tue 14:00 -15:00
Group B: Tue 15:30 - 16:30
Group C: Tue 17:00 - 18:00
Group D: Tue 18:00 - 19:00
Please note that the exercises will be held online. Detailed description and plan as well as zoom links can be found in TUWEL. The first homework assignment is to be presented on March 16, 2021.
Ongoing performance control
Use Group Registration to register.
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.
