I'm feeling confident about this one. B) False is the way to go. Non-parametric tests are the way to go when you can't assume normality for any of the distributions.
Definitely B) False. Non-parametric tests are used when the assumptions for parametric tests are violated, not just when one distribution is non-normal.
Haha, I almost chose A) True, but then I remembered that non-parametric tests are used when the assumptions for parametric tests are not met, not just for a single non-normal distribution.
I think the correct answer is B) False. Non-parametric tests are used when the underlying distributions are not known or do not follow a normal distribution.
Eliz
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