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Parker Lewis——Works at the United Nations, Lives in New York, NY, USA.
Instead, -- is the probability of a Type I error given that the null hypothesis is true. If the null hypothesis is false, then it is impossible to make a Type I error. The second type of error that can be made in significance testing is failing to reject a false null hypothesis.read more >>+119962023-06-23 06:47:52
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