Statistics I - Statistics I, Group D 2

Participation Prerequisites

Thorough understanding of the basics of probability rules, good command of the most common distributions. Basics of integration.

Course Content

The course Statistics I covers problems and methods of inferential statistics. The following topics will be discussed:

• Sample and basic sample statistics; Introduction to R
• The Law of Large Numbers and the Central Limit Theorem
• Estimators and their characteristics
• Interval estimators
• Hypothesis tests

Intended Learning Outcomes and Competencies

Upon completion of the course Statistics I students will have a basic understanding of the tools of inferential statistics: How can we draw conclusions for a population from a sample? This entails the appropriate interpretation of point estimates and confidence intervals and the correct set-up and interpretation of hypothesis tests. Students will be able to understand which tests and methods can be applied to which data problems.

Instruction Type

Präsenzstudium

Form of Examination

Literature

Stock, James, Mark Watson, 2019, Introduction to Econometrics, 4. edition, Pearson; Ebook: https://elibrary.pearson.de/book/99.150005/9781292264523

Heumann, Christian, Schomaker, Michael, Shalabh, 2016,Introduction to Statistics and Data Analysis, Springer