I don’t know what to do about the widespread complete ignorance about the concepts of null hypothesis, rejection, failure to reject, p-levels. I will rant after the jump A glossary is urgently needed. 1. Size — the size of the test is the probability that a true null hypothesis will be rejected. For purely historical reasons the size 0.05 is often discussed. This is basically because the smallest 95% interval of a normal is roughly an even 4 standard...
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