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PeopleCert Exam 20 Topic 2 Question 59 Discussion

Actual exam question for PeopleCert's 20 exam
Question #: 59
Topic #: 2
[All 20 Questions]

If you can Poka-Yoke a defect out of the process entirely then you do not need use SPC on the characteristic of interest in the defect.

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Suggested Answer: C

by Zita at May 31, 2024, 12:34 AM

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Kristian
9 months ago
Poisson all the way! I mean, who wants to deal with all the extra parameters of the Extended or Weibull distributions when a good old Poisson can get the job done?
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Venita
9 months ago
Haha, I bet the Exponential distribution is like, 'Nah, I'm not the right fit for this one.' Gotta love when the options are so clearly not applicable.
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Pansy
8 months ago
C) Poisson
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Arlene
8 months ago
A) Exponential
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Dorothy
10 months ago
I was thinking the Weibull distribution, but the Poisson makes more sense for this scenario. It can handle the discrete nature of the defects.
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Isadora
9 months ago
Yeah, the Poisson distribution is great for modeling rare events like stitch defects.
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Claribel
9 months ago
I agree, the Poisson distribution would be better for counting defects.
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Remedios
10 months ago
The Poisson distribution seems like the obvious choice here. It's great for modeling count data like the number of defects in a fabric.
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Lashonda
9 months ago
I'm not sure about the Weibull distribution, but I think Poisson is the best choice.
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Nilsa
9 months ago
I think the Exponential distribution could also work well for this scenario.
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Florinda
10 months ago
I agree, the Poisson distribution is perfect for modeling count data.
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Desmond
10 months ago
I'm not sure about the Weibull distribution, it may not be the best choice for modeling stitch defects.
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Catalina
10 months ago
I think the Exponential distribution could also work well for this scenario.
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Marva
10 months ago
I agree, the Poisson distribution is perfect for modeling count data.
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Carissa
10 months ago
I agree with Raul, Poisson Distribution is commonly used for count data like stitch defects.
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Raul
10 months ago
I think the Poisson Distribution would be the best choice.
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