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| Detailed information |
| Pre-requisites |
(*)keine
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| Original study plan |
Bachelor's programme Statistics and Data Science 2025W |
| Learning Outcomes |
Competences |
| Students can analyze data using appropriate non-parametric statistical methods.
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| Skills |
Knowledge |
- Performing non-parametric tests with the help of statistical software (k1,k2,k3,k4)
- Determining confidence intervals with the help of statistical software (k1,k2,k3,k4)
- Interpreting the results of the application of the procedures (k1,k2,k3,k4)
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- Basic concepts and quality criteria of statistical tests
- Ordered statistics, rank statistics
- Single-sample problems
- Testing the statistical dependency
- Independent and dependent two-sample tests
- Independent and dependent multi-sample tests
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| Criteria for evaluation |
homework and written exam
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| Methods |
Presentation by the instructor
homework
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| Language |
German |
| Study material |
Myles Hollander, Douglas A. Wolfe, Eric Chicken, Nonparametric Statistical Methods, 2014
David J. Sheskin, Handbook of Parametric and Nonparametric Statistical Procedures, 2011
Duller Christine Einführung in die nichtparametrische Statistik mit SAS, R und SPSS, 2018
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| Changing subject? |
No |
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