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GAQM Exam CLSSGB-001 Topic 1 Question 33 Discussion

Actual exam question for GAQM's CLSSGB-001 exam
Question #: 33
Topic #: 1
[All CLSSGB-001 Questions]

Fractional Factorial designs for an experimental approach are used when ____________ about the multiple metric interaction in a process.

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Suggested Answer: A

by Marvel at Jul 04, 2023, 02:51 AM

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India
2 months ago
I heard they're working on a Fractional Factorial design for the perfect recipe of a half-baked idea. It's a work in progress.
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Phuong
2 months ago
D) Data exists? Well, duh, you kind of need data to run a fractional factorial design. But the key is that you don't know much about how the factors interact.
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Nobuko
28 days ago
D) Data exists
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Tammara
1 months ago
B) Little is known
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Corrie
2 months ago
A) Much is known
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Andra
3 months ago
C) We don't care? Haha, nice try. Of course we care about the interactions - that's why we use fractional factorial designs in the first place!
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Stephanie
1 months ago
D) Data exists
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Nan
2 months ago
B) Little is known
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Elfrieda
2 months ago
A) Much is known
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Terrilyn
3 months ago
A) Much is known? No way, that's the opposite of what fractional factorial designs are for. You use them when you have limited knowledge about the interactions.
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Mariann
1 months ago
D) Data exists
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Rebeca
2 months ago
A) Exactly, fractional factorial designs are used when little is known about the interactions.
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Karima
2 months ago
B) Little is known
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Sylvia
3 months ago
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
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Rhea
27 days ago
D) Data exists
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Ardella
27 days ago
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
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Marica
1 months ago
A) Much is known
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Phuong
1 months ago
D) Data exists
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Kiley
2 months ago
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
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Carey
3 months ago
A) Much is known
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Lindsey
3 months ago
I think option D) Data exists could also be a valid answer, as having existing data can guide the experimental approach.
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Chauncey
3 months ago
I agree with Verlene, using Fractional Factorial designs is helpful when little is known about the multiple metric interaction.
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Verlene
3 months ago
B) Little is known
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Na
3 months ago
I think option B makes sense, it helps in efficiently exploring the interactions with limited resources.
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Chuck
4 months ago
I agree with Socorro, Fractional Factorial designs are used when little is known about the multiple metric interaction.
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Socorro
4 months ago
B) Little is known
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