BlackFriday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

IASSC Exam ICBB Topic 1 Question 63 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 63
Topic #: 1
[All ICBB Questions]

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

Show Suggested Answer Hide Answer
Suggested Answer: C

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

Limited Time Offer

25%

Off

Get Premium ICBB Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Ivette
5 months ago
I see your point, But I think Weibull Distribution could also work well for modeling the variability in stitch defects.
upvoted 0 times
...
Kip
5 months ago
I would go with Exponential Distribution because it models the time between events and defects can occur at any time.
upvoted 0 times
...
Yolande
5 months ago
I agree with Poisson Distribution is commonly used for count data like stitch defects.
upvoted 0 times
...
Larae
5 months ago
I think the Poisson Distribution would be the most desirable for modeling stitch defects.
upvoted 0 times
...
Mary
5 months ago
I'm leaning towards the Exponential Distribution because it can model the time between occurrences.
upvoted 0 times
...
Karol
5 months ago
I agree with Ines, the Poisson Distribution is commonly used for count data like stitch defects.
upvoted 0 times
...
Ines
7 months ago
I think the Poisson Distribution would be the best choice for modeling stitch defects.
upvoted 0 times
...
Penney
7 months ago
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.
upvoted 0 times
...
Iluminada
7 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!
upvoted 0 times
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?
upvoted 0 times
...
Lucille
6 months ago
I agree. It's important to consider the characteristics of the data when choosing a distribution for modeling.
upvoted 0 times
...
Beula
6 months ago
That makes sense. An exponential distribution would be suitable for modeling events that occur independently at a constant rate.
upvoted 0 times
...
...
Brandon
7 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.
upvoted 0 times
...
Julie
7 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.
upvoted 0 times
...
Oren
7 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.
upvoted 0 times
...
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.
upvoted 0 times
...

Save Cancel