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GAQM Exam CLSSGB-001 Topic 6 Question 46 Discussion

Actual exam question for GAQM's CLSSGB-001 exam
Question #: 46
Topic #: 6
[All CLSSGB-001 Questions]

Conducting a viable Capability Analysis using Attribute Data one must obtain a fairly large sample set to be statistically sound.

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Suggested Answer: A

by Glen at Apr 13, 2024, 02:19 AM

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Merissa
9 months ago
Candidate 6: That's true, the size of the sample needed for a viable Capability Analysis using Attribute Data can vary based on the context.
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Carolynn
9 months ago
Candidate 5: I think it really depends on the specific situation and the level of precision required for the analysis.
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Amalia
9 months ago
Candidate 4: True, in some cases a smaller sample size might be sufficient for conducting a credible Capability Analysis with attribute data.
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Rashad
9 months ago
Candidate 3: I believe the answer is B) False because sometimes a smaller sample size can still provide valid results.
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Omer
9 months ago
Candidate 2: I agree, conducting a Capability Analysis with attribute data requires a large sample size to ensure reliability.
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Kattie
10 months ago
Candidate 1: I think the answer is A) True because larger sample size gives more accurate results.
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Yvonne
10 months ago
I think the answer is False because sometimes a smaller sample set can still provide valuable insights.
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Louisa
10 months ago
I'm not sure, but it makes sense that a larger sample size would provide more reliable results.
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Chantell
11 months ago
I agree with User1, a large sample set is necessary for statistical accuracy.
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Leota
11 months ago
I think the answer is True because a large sample set is needed for accurate analysis.
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Lauran
11 months ago
Hmm, I'm not so sure. Aren't there ways to do statistical analyses with smaller sample sizes? I feel like there must be some nuance here that the question is missing. Maybe we need to dig into the details of capability analysis a bit more.
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Glennis
12 months ago
I'm going to go with 'False' on this one. Sure, a larger sample is generally better, but I don't think you necessarily need a 'fairly large' sample to do a capable analysis with attribute data. It depends on the specific situation and the level of precision you're aiming for.
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Novella
12 months ago
You know, I'm reminded of that old statistics joke - 'How do you make a small fortune in statistical consulting? Start with a large one!' But in all seriousness, I agree that a large sample is probably needed here to get meaningful results.
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Beatriz
10 months ago
Agree, a large sample size is crucial for accurate results.
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Lorriane
10 months ago
A) True
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Virgilio
12 months ago
Hmm, I'm leaning towards 'True' on this one. Attribute data can be tricky to work with, and if you don't have a big enough sample, your results might not be reliable. Better to err on the side of caution and get a large sample set, in my opinion.
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Dallas
12 months ago
Well, I think the key here is the phrase 'statistically sound.' In my experience, you generally do need a fairly large sample size to draw valid statistical conclusions. But I'm not an expert, so I'd have to double-check the specifics for this kind of analysis.
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Ivette
12 months ago
I'm not too sure about this question. Conducting a capability analysis seems like a pretty advanced topic, and I'm not sure how large the sample set needs to be to be statistically sound. I'd have to do some more research on the methodology to feel confident in answering this.
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