IASSC Exam ICBB Topic 1 Question 63 Discussion

Actual exam question for IASSC's ICBB exam

Question #: 63
Topic #: 1

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

AExponential

BExtended

CPoisson

DWeibull

Show Suggested Answer

Suggested Answer: C

by Jennie at Apr 09, 2024, 01:19 PM

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Ivette

5 months ago

I see your point, But I think Weibull Distribution could also work well for modeling the variability in stitch defects.

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Kip

5 months ago

I would go with Exponential Distribution because it models the time between events and defects can occur at any time.

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Yolande

6 months ago

I agree with Poisson Distribution is commonly used for count data like stitch defects.

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Larae

6 months ago

I think the Poisson Distribution would be the most desirable for modeling stitch defects.

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Mary

6 months ago

I'm leaning towards the Exponential Distribution because it can model the time between occurrences.

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Karol

6 months ago

I agree with Ines, the Poisson Distribution is commonly used for count data like stitch defects.

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Ines

7 months ago

I think the Poisson Distribution would be the best choice for modeling stitch defects.

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Ooh, the exponential, that's a good point! I was kind of dismissing that one, but it does make sense if the defects are truly random and uncorrelated. Though I still think the Poisson might be a better fit overall.

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Iluminada

8 months ago

Guys, I hate to be that person, but have you considered the exponential distribution? I mean, if the stitch defects are independent and the rate of defects is constant over time, then an exponential model might work well. Just a thought!

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Kattie

6 months ago

But what about the Poisson distribution? Doesn't that also describe the number of events occurring in a fixed interval of time or space?

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Lucille

6 months ago

I agree. It's important to consider the characteristics of the data when choosing a distribution for modeling.

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Beula

7 months ago

That makes sense. An exponential distribution would be suitable for modeling events that occur independently at a constant rate.

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Brandon

8 months ago

Hmm, the Weibull is an interesting thought. I think it really depends on the specific characteristics of the stitch defects and the fabric manufacturing process. If the defects are more consistently distributed, then Poisson might be better. But if there's more variation in the defect rates, Weibull could be the way to go.

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Julie

8 months ago

I was leaning more towards the Weibull distribution, actually. It's often used for modeling failure or defect rates, and it can handle skewed data better than the Poisson. But I'm open to hearing other perspectives on this.

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Oren

8 months ago

Yeah, I agree with you on the Poisson distribution. It's designed to handle discrete, countable events like this, and it's a good way to model the randomness of stitch defects. Plus, it's a pretty common distribution in quality control and manufacturing applications.

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Jame

8 months ago

Hmm, this seems like a tricky one. I'm thinking the Poisson distribution might be the best fit here, since it's commonly used to model the number of events occurring in a fixed interval of time or space, and stitch defects in fabric could be considered a similar kind of event.

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IASSC Exam ICBB Topic 1 Question 63 Discussion

Contribute your Thoughts:

Ivette

Kip

Yolande

Larae

Mary

Karol

Ines

Penney

Iluminada

Kattie

Lucille

Beula

Brandon

Julie

Oren

Jame