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The probability of rejecting the null hypothesis when, in fact, the null hypothesis is true is called the.

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Answer:

Type I error

Step-by-step explanation:

A type I error is a false positive, which is when a researcher rejects a null hypothesis when it is, in fact, true

A type II error is a false negative, which is when a researcher fails to reject a null hypothesis and accepts it when it is, in fact, false.

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