Lehrinhalte
Probability spaces and random variables, distribution functions, expectation and variance, independence and elementary conditional expectations, discrete and absolutely continuous distributions, Law of Large Numbers, Central Limit Theorem, estimation and confidence intervals, testing under the hypothesis of normality.
Literature
Eckle-Kohler, Kohler: Eine Einführung in die Statistik und ihre Anwendungen;
Voraussetzungen
recommended: Analysis and Linear Algebra
Probability spaces and random variables, distribution functions, expectation and variance, independence and elementary conditional expectations, discrete and absolutely continuous distributions, Law of Large Numbers, Central Limit Theorem, estimation and confidence intervals, testing under the hypothesis of normality.
Literature
Eckle-Kohler, Kohler: Eine Einführung in die Statistik und ihre Anwendungen;
Voraussetzungen
recommended: Analysis and Linear Algebra
- Lehrende: Selina Drews
- Lehrende: Michael Kohler
Semester: Verão 2022