408110 VO Advanced Statistics
winter semester 2020/2021 | Last update: 08.10.2020 | Place course on memo list408110
VO Advanced Statistics
VO 2
5
weekly
annually
German
This is a second course on statistical data analysis. Students will learn about designs of data collection and statistical models commonly used for analyzing data in the social sciences with a particular focus on linear models.
1. Statistical inference: estimation and significance tests
2. Comparing two groups
3. Association between categorical variables
4. Linear regression and correlation
5. Multiple linear regression
6. Analysis of variance
7. Analysis of covariance
8. Statistical model building
9. Logistic regression
Lecture, assessment is based on a single examination at the end of the course.
written examination
Alan Agresti & Barbara Finlay (2009). Statistical Methods for the Social Sciences. Fourth Edition. Upper Saddle River, NJ: Prentice Hall.
positive completion of the compulsory module accorting to § 5 Para 1 No 4
see dates
- Faculty of Business and Management
- Bachelor's Programme Management and Economics according to the Curriculum 2007 (180 ECTS-Credits, 6 semesters)
- Diploma Programme International Economic and Business Studies according to the study programme of 2001 (240 ECTS-Credits, 8 semesters)
- Faculty of Social and Political Sciences
- Bachelor's Programme Sociology according to the curriculum 2007 (180 ECTS-Credits, 6 semesters)
- Minors (Complementary Subject Areas) (30 ECTS-Credits)
- Faculty of Economics and Statistics
- Minors (Complementary Subject Area)
Group 0
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Date | Time | Location | ||
Tue 2020-10-13
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2020-10-20
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2020-10-27
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2020-11-03
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2020-11-10
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2020-11-17
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2020-11-24
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2020-12-01
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2020-12-15
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2021-01-12
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2021-01-19
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2021-01-26
|
18.00 - 19.45 | eLecture - online eLecture - online | ||
Tue 2021-02-02
|
18.00 - 19.45 | eLecture - online eLecture - online | 1. Klausur |