I remember discussing that non-parametric tests are a good choice when normality is violated, but I can't remember the specifics about how many distributions need to be normal.
I’m not sure, but I feel like we practiced a question where it said non-parametric tests are used when we can't assume normality in one or both groups.
Ah, I remember learning about this in class. The VxVM configuration data is stored in the private region of the managed disk, not the public region or anywhere else. I feel good about selecting option B for this question.
I'm confident I can solve this. Repos involve the sale and repurchase of securities, so the difference in principal amounts is likely related to that process.
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.
Timothy
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