# What are practical applications of biostatistics

## SK.Bio.305: Basics of biostatistics with R (3 C, 2 SWS)

**Learning objectives and competencies:** After successfully completing the module, the students have learned how to use the free statistical language R and how to apply the language to biological data sets. You can use the statistical techniques such as descriptive statistics, parametric and non-parametric two-sample tests, chi-square test, correlation analysis, linear regression analysis, and ANOVA.**Lectures and exams**

Seminar: *Introduction to biostatistics with R* (2 SWS)**Module exam:** Written exam (90 minutes)**Examination prerequisites:** Regular participation in the course and submission of the solutions to the exercise sheets**Exam requirements:** Independent analysis of biological data sets using the R language; Assessment and practical application of basic statistical test procedures**Workload**

30 h attendance time

60 h self-study**entry requirements**

no**Recommended previous knowledge**

basic mathematical and statistical knowledge**Repeatability**

twice**Recommended semester**

5**Frequency of offers and semester situation**

every winter semester**Duration**

1 semester**language**

German**Maximum number of students**

23**Module coordinator**

Prof. Dr. Burkhard Morgenstern

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