The tested hypothesis is often – but not necessarily – the idea of ‘no effect,’ i.e., that the data reflect only noise and no signal. This version of significance testing is called Null Hypothesis ...
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What the use of P implies, therefore, is that a hypothesis that may be true may be rejected because it has not predicted observable results that have not occurred. ~ Harold Jeffreys Exactly! ~ J. K.
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