A range built by a procedure that covers the true value in a stated share of repeated samples, usually 95%.
The probability that a test detects an effect of a given size. Plan for at least 0.8.
The magnitude of a difference in units that do not depend on the sample size, for example Cohen's d.
The probability of data at least this extreme if the null hypothesis holds. It is not the probability that the hypothesis is true.
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