A) True, because if one distribution is not normal, that's enough to warrant using a non-parametric test, right? I mean, who has time to check if all the distributions are normal these days?
B) False, definitely. I remember the instructor saying non-parametric tests are used when the distributions are not normal, not just when one of them is non-normal. This question is trying to trick us!
Hmm, I'm not sure about this one. Wouldn't it depend on the specific test being used and the assumptions it requires? I should review my notes on non-parametric tests.
I think the correct answer is B) False. Non-parametric tests are used when the underlying distribution is not known or doesn't follow a normal distribution, not just when one of the distributions is non-normal.
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