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Hypothesis Tests, p-values and Power

What a p-value is a probability of and what it is not, the two error rates and the asymmetry between them, and the arithmetic showing that most significant findings can be false while every test behaves exactly as advertised.

IntermediateModule 330 min · 120 XP
A null distribution with its tail shaded as the observed statistic slides, p-values under a true null filling a flat histogram, a power curve rising with sample size, and a hundred hypotheses sorting into true and false discoveries.

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