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Lecture
Understanding Statistics & Experimental Design
Description
This lecture covers basic probability theory, signal detection theory, statistics in a nutshell, multiple testing, ANOVA, experimental design, correlations, PCA, meta-statistics, statistical power analysis, conventions about statistical power, retrospective power analysis, t-tests, central limit theorem, metrics, confidence intervals, non-parametric tests, hypothesis testing procedures, popular non-parametric tests, advantages and disadvantages of non-parametric tests, and good and bad practices in statistical analysis.
Official source
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