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GAQM CLSSBB-001 Exam - Topic 4 Question 44 Discussion

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

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

Suggested Answer: C

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39 comments · newest first
MA
Marti 11 months ago
I thought it had to be both distributions, not just one.
LA
Latosha 11 months ago
Yup, non-parametric tests are super useful in those cases!
LU
Lucy 11 months ago
Wait, so just one non-normal distribution means non-parametric? Really?
ME
Melinda 12 months ago
I disagree, it's more about the sample size and data type too.
FA
Fannie 12 months ago
That's true, non-parametric tests are great for non-normal distributions!
DA
Davida 12 months ago
I believe the answer is True, but I might be mixing it up with when to use parametric tests instead.
EN
Ena 1 year 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.
SA
Sage 1 year ago
I remember practicing a question where it mentioned using Non-parametric Tests for non-normal distributions, but I can't recall the specifics.
JI
Jillian 1 year 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.
RE
Reid 1 year 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.
KA
Karl 1 year 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.
CH
Charolette 1 year 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.
MA
Marvel 1 year 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.
AM
Amira 1 year ago
This question seems straightforward, I think the main goal of threat hunting is to validate patterns of behavior related to an attack.
PA
Patria 1 year ago
I think the council would definitely develop a quality vision, right? I feel like that's not the odd one out here.
JE
Jenelle 1 year ago
Hmm, I'm a bit unsure about the differences between custom dimensions and the standard ones. I'll need to review my notes.
JE
Jennifer 1 year 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.
TH
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.
CA
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?
RI
Ricarda 1 year ago
↳ replying to Carin
A) True, but it does save time to just use a non-parametric test if one distribution is not normal.
SU
Susy 1 year ago
↳ replying to Carin
B) False, actually, it is important to check if all distributions are normal before deciding to use a non-parametric test.
ST
Stevie 1 year ago
↳ replying to Carin
A) True, because if one distribution is not normal, that's enough to warrant using a non-parametric test, right?
IZ
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!
AN
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.
LI
Linn 1 year ago
↳ replying to Annamae
You might be right, it could depend on the specific test
AL
Alease 1 year ago
↳ replying to Annamae
I think it's False
YV
Yvette 1 year ago
↳ replying to Annamae
Yes, you should review your notes on non-parametric tests.
JU
Juliana 1 year ago
↳ replying to Annamae
True
JA
Jade 1 year ago
↳ replying to Annamae
I think it depends on the specific test and its assumptions.
LA
Lajuana 1 year ago
↳ replying to Annamae
B) False
ME
Melissia 1 year ago
↳ replying to Annamae
A) True
LE
Leanora 2 years 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.
BU
Buffy 1 year ago
↳ replying to Leanora
Non-parametric tests are used when the underlying distribution is not known or doesn't follow a normal distribution.
BI
Billy 1 year ago
↳ replying to Leanora
I agree with B) False.
SH
Sherly 1 year ago
↳ replying to Leanora
B) False
RO
Robt 1 year ago
↳ replying to Leanora
A) True
DA
Dahlia 2 years ago
But if one distribution is not Normal, it's better to use a Non-parametric Test to avoid assumptions about the data.
JO
Johana 2 years ago
I disagree, I believe the answer is B) False.
DA
Dahlia 2 years ago
I think the answer is A) True.
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