Lernergebnisse (learning outcomes): |
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Fachkompetenz Wissen (professional expertise): |
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Studierende...
are familiar with different types of data and can select appropriate graphical representation techniques and descriptive statistics.
understand basic concepts of probability, such as the probability of an event and combined probabilities.
know different probability distributions and can distinguish between them.
understand the principles of estimation and the uncertainties associated with estimates.
understand the principles underlying hypothesis testing.
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Fachkompetenz Fertigkeit (practical professional and academic skills): |
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Studierende...
can summarize data using graphical and numerical techniques.
can use probability calculations, including conditional probability and Bayes’ theorem, to assess the likelihood of various outcomes.
can calculate estimates for parameters based on sample data.
can perform hypothesis tests across a range of statistical questions and can interpret results.
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Personale Kompetenz / Sozial (individual competences / social skills): |
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Studierende...
can communicate their analysis results clearly and effectively.
can engage constructively in team discussions on statistical methods and interpretations.
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Personale Kompetenz / Selbstständigkeit (individual competences / ability to perform autonomously): |
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Studierende...
are able to independently conduct basic data analyses and critically evaluate the results.
can successfully structure their own learning process.
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