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Terms that use the word type_ii_errors, ordered by popularity:

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Type I and type II errors
In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true.
Type I and type II errors
In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true.
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