Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25

- Free Preparation Discussions

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.

ATrue

BFalse

Show Suggested Answer

Suggested Answer: C

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

Limited Time Offer

25%

Off

Get Premium 20 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Kristian

1 years 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?

upvoted 0 times

...

Venita

1 years 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.

upvoted 0 times

Pansy

12 months ago

C) Poisson

upvoted 0 times

...

Arlene

12 months ago

A) Exponential

upvoted 0 times

...

...

Dorothy

1 years 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.

upvoted 0 times

Isadora

1 years ago

Yeah, the Poisson distribution is great for modeling rare events like stitch defects.

upvoted 0 times

...

Claribel

1 years ago

I agree, the Poisson distribution would be better for counting defects.

upvoted 0 times

...

...

Remedios

1 years 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.

upvoted 0 times

Lashonda

1 years ago

I'm not sure about the Weibull distribution, but I think Poisson is the best choice.

upvoted 0 times

...

Nilsa

1 years ago

I think the Exponential distribution could also work well for this scenario.

upvoted 0 times

...

Florinda

1 years ago

I agree, the Poisson distribution is perfect for modeling count data.

upvoted 0 times

...

Desmond

1 years ago

I'm not sure about the Weibull distribution, it may not be the best choice for modeling stitch defects.

upvoted 0 times

...

Catalina

1 years ago

I think the Exponential distribution could also work well for this scenario.

upvoted 0 times

...

Marva

1 years ago

I agree, the Poisson distribution is perfect for modeling count data.

upvoted 0 times

...

...

Carissa

1 years ago

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

upvoted 0 times

...

Raul

1 years ago

I think the Poisson Distribution would be the best choice.

upvoted 0 times

...