type I error

type I error,

1 in a test of a statistical hypothesis, the probability of rejecting the null hypothesis when it is true and should be accepted. It occurs when researchers observe a difference when in fact there is none. Also called alpha error, error of the first kind.

2 a false negative.

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type I error

α error, false-positive error Statistics Rejection of the null hypothesis when it is true, or the error of falsely stating that 2 proportions are significantly different when they are the same