Examlex
Why is system testing a by users a big deal? An important task?
Type I Error
The incorrect rejection of a true null hypothesis, often denoted as a false positive.
Alpha
In statistics, the level of significance at which a hypothesis test is conducted, representing the probability of incorrectly rejecting the null hypothesis.
Type I Error
The error of rejecting a true null hypothesis, also known as a false positive.
Alpha
Often denoted as α, it is a significance level used in hypothesis testing, representing the probability of rejecting a true null hypothesis.
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