Learning objectives:

The student

• understands and applies the basic definitions and theorems of probability theory,
• transfers these theoretical foundations to problems in parametric mathematical statistics.

Content:

D. Sampling and estimation theory: Sampling distributions, estimators, point and interval estimation
E. Test theory: General principles of hypothesis testing, specific 1- and 2-sample tests
F. Regression analysis: Simple and multiple linear regression, statistical inference

Requirements:

It is recommended to attend the course Statistics I [2600008] before the course Statistics II [2600020].

Workload:

Total workload: 150 hours (5.0 Credits).

Attendance: 60 hours

Preparation and follow-up: 90 hours

Skript: Kurzfassung Statistik II. Dieses enthält ausführliche Angaben zu weiterführender Literatur.