Statistics II
- Statistics II exam inspection is taking place on August, Wednesday, 07th at 08:15 in room F424
- Statistics II exam ist taking place July, 22th 08:30-10:00
- A-Lucm in Konzil I
- Lud-Schla in Konzil II
- Schle- Z in R711
- Lectures and tutorials are planned as on-campus sessions.
- The first lecture takes place on Monday, April 8th at 15:15 in Konzil 1
- To follow the course and get access to the course material, please sign-up on ZEUS.
- All further information and course material will be provided on ILIAS
Instructor: Prof. Dr. Ralf Brüggemann
Time and Room: Monday, 15:15 - 16:45, in Konzil 1
Language: Lectures and tutorials are in English.
Prerequisites: College-level background in calculus including univariate integration and differentiation, partial differentiation, and multivariate integration
Tutorials:
Group A | Tuesday | 08:15 – 09:45 | G 309 | Nicolas Weiss |
Group B | Tuesday | 11:45 – 13:15 | G 530 | Nicolas Weiss |
Group C | Wednesday | 10:00 – 11:30 | M 627 | Sven Hartel |
Group D | Wednesday | 11:45 – 13:15 | G 309 | Sven Hartel |
Group E | Thursday | 08:15 – 09:45 | G 227a | Benedikt Schwab |
Group F | Thursday | 13:30 – 15:00 | G 309 | Felix Sieber |
Group G | Thursday | 15:15 – 16:45 | G 309 | Felix Sieber |
Group H | Friday | 08:15 – 09:45 | L 602 | Clara Litzel |
Please note that the first Problem Set is not discussed in the tutorials.
The tutorials start in the week of April 22 to 26, 2024.
Course Description:
This lecture builds directly on Statistics I and gives an introduction to statistical estimation and inference. Topics covered include point and interval estimation, hypothesis testing and an introduction to regression analysis. Tutorials complement the lecture and include a discussion of output from the statistical software STATA. This lecture is typically offered in winter terms. Lectures and tutorials are in English.
Preliminary Course Outline (English):
- Introduction
- Sampling and Sampling Distributions
- Law of Large Numbers
- Central Limit Theorem
- Parameter Estimation
- Point Estimation
- Properties of Estimators
- Interval Estimation
- Hypotheses Testing
- Principles of Statistical Testing
- Specific Statistical Tests
- Regression Analysis
- Simple Linear Regression
- Model
- Estimation
- Parameter Tests
- Residual Analysis
- Prediction
- Simple Linear Regression
Readings:
- Wackerly, D. D., Mendenhall, W. & Scheaffer, R. L. (2008), Mathematical Statistics with Applications (7. edn.: Brooks/Cole Cengage)
- Further resources to be discussed in class
Software:
Printouts from statistical software STATA will be used in the tutorials.
Course Material:
- via ILIAS