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Abstract
Probability and Statistics
Objective
The first part of the course provides an introduction into probability theory (sample spaces, random variables, probability mass functions, probability density functions, expectation, variance, limit theorems such as the law of large numbers and the central limit theorem, joint distributions, independence). The second part of the course provides an introduction into statistics (estimator, confidence interval, hypothesis test, linear regression). We will use the programming language R. The lectures are held in German, but we use English terminology for technical terms. The lecture notes are at least partially written in English.
Content
see moodle
Resources
Lecture Notes
see moodle
Literature
see moodle