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Mental shortcuts that aid in our decision-making are called:
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.
Alpha
A term often associated with the significance level in hypothesis testing, indicating the probability of rejecting a true null hypothesis.
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