Type I errors are when you reject the null hypothesis when it is, in fact, true.
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Type I errors are when you reject the null hypothesis when it is, in fact, true.
– Type II errors are when you fail to reject the null hypothesis when it is false.
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Related Book For
Statistics Without Maths For Psychology
ISBN: 9781292128856
7th Edition
Authors: Chistine Dancey, John Reidy
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