Course wrap-up video
Foundations of Inference in Python
Paul Savala
Assistant Professor of Mathematics
Bias and sampling
Bias and inference
Point estimates versus confidence intervals
Inference from confidence intervals
Hypothesis testing
Parametric tests
Non-parametric tests
Correlation tests
Normality tests
Effect sizes
Effect size for means, correlations and categorical variables
Multiple comparison problem and corrections
Power of a test
Simulation, randomization and meta-analysis
Bootstrapping
Permutation tests
Fisher's method
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Let's practice!
Foundations of Inference in Python
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