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GAQM Exam CLSSGB-001 Topic 4 Question 54 Discussion

Actual exam question for GAQM's CLSSGB-001 exam
Question #: 54
Topic #: 4
[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

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Dino
3 months ago
That's true, but it also depends on the specific situation and the level of confidence required.
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Ammie
4 months ago
But wouldn't a larger sample size reduce the margin of error?
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Oretha
4 months ago
Capability analysis? Is that like when you measure how capable your coworkers are at making coffee? I'm in charge of that, by the way.
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Elbert
4 months ago
Ah, the age-old debate - quantity vs. quality. I say, as long as the data is representative, who needs a gazillion samples? Just my two cents.
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Sunny
4 months ago
Well, duh. Of course you need a large sample. How else are you going to find out if your process is as capable as your boss claims it is?
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Moon
2 months ago
No, a small sample size may not provide reliable results.
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Mignon
2 months ago
B) False
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Marvel
2 months ago
Exactly, a large sample size is crucial for accurate analysis.
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Sharee
3 months ago
A) True
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Dino
4 months ago
False. A smaller sample size can still provide valuable insights.
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Ammie
4 months ago
True. You need a large sample size for accurate results.
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Brandon
4 months ago
Hmm, I thought a small sample would be enough. Guess I've been doing it wrong all this time. Back to the drawing board!
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Bernardo
3 months ago
B) False
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Sommer
3 months ago
Don't worry, it's a common misconception. More data is usually needed for attribute data.
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Denny
4 months ago
A) True
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Lemuel
4 months ago
True, you need a decent sample size to get reliable capability analysis results. No point in skimping on the data collection.
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Burma
3 months ago
A) True
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Chantell
3 months ago
True, it's important to have enough data to make informed decisions.
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Lorita
4 months ago
Exactly, a small sample size can lead to inaccurate results.
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Jovita
4 months ago
A) True
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