| Detailed information |
| Pre-requisites |
(*)KS Statistik für Sozial- und Wirtschaftswissenschaften
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| Original study plan |
Bachelor's programme Sociology 2025W |
| Learning Outcomes |
Competences |
| Students understand the concepts and basic methods of inferential statistics and are able to apply them to data sets.
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|
| Skills |
Knowledge |
- Knowing and understanding the logic of inferential statistics (k1,k2)
- Application of the basic methods of inferential statistics to data sets (k3,k4, k5)
- Interpreting, visualising and critically questioning the results of inferential statistics (based on the basic ‘statistical literacy’ acquired in KS Statistics for social and economic sciences)
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- Basic terms and concepts of inferential statistics
- Point and interval estimation of basic statistical measures
- Statistical hypothesis testing of basic statistical measures
- Required sample size
- Chi-square test
- Regression analysis
- Analysis of variance
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|
| Criteria for evaluation |
Homework assignments and an examination
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| Methods |
Lecture by instructor, Discussion of the homework assignments, Independent data work using EXCEL
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| Language |
German |
| Study material |
Quatember, A. (current edition). Statistik ohne Angst vor Formeln. Pearson, München. (in German)
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| Changing subject? |
No |
| Further information |
An EXCEL-learning file to be used with some homeworks will be provided
|
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
2EST2K: KS Statistics II (2009W-2014W)
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