I wonder if the exam designers are trying to trick us with this one. Reverse psychology, maybe? Nah, can't be. Type II error is the answer, no doubt about it.
I'm gonna go with False on this one. A Type II error is when we fail to reject the null hypothesis when it's actually false. This is the opposite of that.
Aha! I think I've got this. If we reject the null hypothesis when it's actually true, that would be a Type II error, right? Gotta be careful with those statistical mistakes.
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