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IASSC ICBB Exam - Topic 9 Question 44 Discussion

The _____________ Distribution would be the most desirable for modeling the number of stitch defects in a portion of fabric.
C) Poisson
A) Exponential
B) Extended
D) Weibull

IASSC ICBB Exam - Topic 9 Question 44 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 44
Topic #: 9
[All ICBB Questions]

The _____________ Distribution would be the most desirable for modeling the number of stitch defects in a portion of fabric.

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Suggested Answer: C

by Casie at Feb 07, 2023, 03:56 AM

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Victor
9 months ago
Really? I thought Extended was a thing for this kind of stuff.
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Barrett
10 months ago
Wait, why not Weibull? Isn’t it for life data?
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Ernest
10 months ago
Definitely Poisson, it’s all about rare events!
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Fabiola
10 months ago
I think Exponential might fit too, but not as well.
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Cassi
10 months ago
Poisson is great for counting defects!
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Vallie
11 months ago
The Weibull distribution sounds familiar, but I can't recall if it's really applicable to defect counts. I feel like it’s more for life data analysis.
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Soledad
11 months ago
I practiced a question similar to this, and I think the Poisson distribution is commonly used for rare events, so that could fit here.
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Yuette
11 months ago
I'm not entirely sure, but I remember something about the Exponential distribution being used for time until an event occurs, not counts.
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Lisandra
11 months ago
I think the Poisson distribution might be the right choice since it deals with counting events in a fixed interval, like defects in fabric.
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Celeste
11 months ago
I'm pretty confident I know the answer to this one. The "advertise-label ipv4" command is required on the ASBRs to exchange labeled IPv4 routes between the autonomous systems. That's option B, right?
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Jennie
11 months ago
Hmm, this seems to be asking about the business governance structure requirements for a P3O. I'll need to think carefully about the different stakeholders and their roles.
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Penney
12 months ago
I'm a bit stumped on this one. I'll need to think it through step-by-step and try to match the pattern to the potential attack types listed.
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