Students understand and can apply/calculate:
- parametric statistical tests for continuous data (K2, K3, K5)
- sample size estimation and power-analysis for parametric tests (K2, K3, K5)
- non-parametric statistical tests for continuous and/or rank data (K2, K3, K5)
- statistical tests for categorical data (K2, K3, K5)
- basic analysis of variance (K2, K3, K5)
- summary of fit statistics for binary classification systems (K2, K3, K5)
- odds-ratios and risk-ratios (K2, K3, K5)
- summary statistics for association/correlation (K2, K3, K5)
- partial correlation coefficients (K2, K3, K5)
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Students have knowledge about:
- the application of complex statistical methods
- the interpretation of statistical results
- parametric and non-parametric statistical hypotheses testing
- using a statistical program package like R
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