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Introduction and descriptive statistics
Basics of inferential statistics 1: random variables
Basics of inferential statistics 2: population and parameter estimation
Hypothesis testing and significance
Difference hypotheses with a maximum of two groups: t-tests. Confidence intervals
Error types, effect size and power
Single factor analysis of variance
Multifactorial analysis of variance
Analysis of variance with repeated measures
Correlation hypotheses: Correlation and regression
Concluding remarks.

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