Question
What are Type I and Type II errors in hypothesis testing?
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In hypothesis testing, a Type I error occurs when you reject a true null hypothesis (false positive). A Type II error occurs when you fail to reject a false null hypothesis (false negative). They are fundamentally linked – reducing the probability of one often increases the probability of the other.