I'm pretty confident that the answer is A, True. A Type II error is when we fail to reject the null hypothesis when it's actually false, so if we're rejecting the null when it's actually true, that would be the opposite - a Type I error.
Okay, let me think this through step-by-step. A Type II error is when we fail to reject the null hypothesis when it's actually false. So if we're rejecting the null hypothesis when it's actually true, that would be the opposite of a Type II error. I think the answer is B, False.
Hmm, I'm a little unsure about this one. I know that a Type II error is when we fail to reject the null hypothesis when it's actually false, but I'm not totally sure if that's the same as rejecting the null when it's true. I'll have to think this through carefully.
Aha, I think I got this one! If the null is actually true, but we decide to reject it, that's a Type II error. Gotta be careful not to jump the gun on that.
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