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GAQM CLSSBB-001 Exam - Topic 4 Question 44 Discussion

A Non-parametric Test should be used if just one distribution is not Normal out of the two or more gathered.
A) True
B) False

GAQM CLSSBB-001 Exam - Topic 4 Question 44 Discussion

Actual exam question for GAQM's CLSSBB-001 exam
Question #: 44
Topic #: 4
[All CLSSBB-001 Questions]

A Non-parametric Test should be used if just one distribution is not Normal out of the two or more gathered.

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Suggested Answer: C

by Vallie at Apr 21, 2024, 03:06 AM

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Marti
9 months ago
I thought it had to be both distributions, not just one.
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Latosha
9 months ago
Yup, non-parametric tests are super useful in those cases!
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Lucy
10 months ago
Wait, so just one non-normal distribution means non-parametric? Really?
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Melinda
10 months ago
I disagree, it's more about the sample size and data type too.
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Fannie
10 months ago
That's true, non-parametric tests are great for non-normal distributions!
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Davida
10 months ago
I believe the answer is True, but I might be mixing it up with when to use parametric tests instead.
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Ena
10 months ago
I feel like the statement is misleading; I thought Non-parametric Tests were more about the overall distribution rather than just one being non-normal.
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Sage
11 months ago
I remember practicing a question where it mentioned using Non-parametric Tests for non-normal distributions, but I can't recall the specifics.
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Jillian
11 months ago
I think a Non-parametric Test is used when at least one distribution is not normal, but I'm not entirely sure if it applies to just one out of several.
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Reid
11 months ago
Hmm, I'm a little unsure here. I know non-parametric tests are used when the data doesn't follow a normal distribution, but I'm not sure if that applies if it's just one of the distributions that's non-normal. I might need to review my notes on this before answering.
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Karl
11 months ago
I remember learning about this in class. I think the key is that non-parametric tests don't make assumptions about the underlying distribution of the data, so they can be used even if just one of the distributions is non-normal. I'll go with True on this one.
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Charolette
11 months ago
Okay, let me think this through. If just one of the distributions is non-normal, that means the overall data is not normally distributed. So a non-parametric test would be appropriate in that case. I'm feeling more confident about this now.
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Marvel
11 months ago
Hmm, I'm a bit unsure about this one. I know non-parametric tests are used when the data doesn't follow a normal distribution, but I'm not sure if that applies if just one of the distributions is non-normal.
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Amira
11 months ago
This question seems straightforward, I think the main goal of threat hunting is to validate patterns of behavior related to an attack.
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Patria
11 months ago
I think the council would definitely develop a quality vision, right? I feel like that's not the odd one out here.
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Jenelle
11 months ago
Hmm, I'm a bit unsure about the differences between custom dimensions and the standard ones. I'll need to review my notes.
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Jennifer
11 months ago
I'm a bit confused by the "Cluster JVM" option. Not sure what that refers to in the context of running a simulation. Might need to review my notes on that.
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Therese
1 year ago
This question is about as normal as a data set with heavy skewness. I'll go with B) False and hope the instructor has a good sense of humor.
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Carin
1 year ago
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?
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Ricarda
1 year ago
A) True, but it does save time to just use a non-parametric test if one distribution is not normal.
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Susy
1 year ago
B) False, actually, it is important to check if all distributions are normal before deciding to use a non-parametric test.
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Stevie
1 year ago
A) True, because if one distribution is not normal, that's enough to warrant using a non-parametric test, right?
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Izetta
1 year ago
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!
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Annamae
1 year ago
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.
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Linn
1 year ago
You might be right, it could depend on the specific test
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Alease
1 year ago
I think it's False
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Yvette
1 year ago
Yes, you should review your notes on non-parametric tests.
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Juliana
1 year ago
True
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Jade
1 year ago
I think it depends on the specific test and its assumptions.
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Lajuana
1 year ago
B) False
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Melissia
1 year ago
A) True
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Leanora
1 year ago
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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Buffy
1 year ago
Non-parametric tests are used when the underlying distribution is not known or doesn't follow a normal distribution.
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Billy
1 year ago
I agree with B) False.
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Sherly
1 year ago
B) False
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Robt
1 year ago
A) True
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Dahlia
1 year ago
But if one distribution is not Normal, it's better to use a Non-parametric Test to avoid assumptions about the data.
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Johana
1 year ago
I disagree, I believe the answer is B) False.
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Dahlia
1 year ago
I think the answer is A) True.
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