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GAQM Exam CLSSBB-001 Topic 3 Question 57 Discussion

Actual exam question for GAQM's CLSSBB-001 exam
Question #: 57
Topic #: 3
[All CLSSBB-001 Questions]

Fractional Factorial designs are used to reduce the ____________ because the number of runs has been lowered.

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Suggested Answer: A

Contribute your Thoughts:

Lorrie
21 days ago
Wait, does this mean I can run my experiments faster and spend less money? Sign me up for that!
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Lamonica
23 days ago
Output summary? Really? I think you're way off base on this one, my friend. Clearly, it's the time and cost savings that matter most.
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Gracia
1 months ago
Fewer people involved? I don't think that's the main advantage here. It's all about optimizing the experimental setup.
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Pearlene
19 hours ago
I agree, the main advantage of Fractional Factorial designs is to reduce the number of data measurement points.
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Lina
9 days ago
C) Number of data measurement points
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Brock
21 days ago
A) Time and cost of experiments
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Joaquin
1 months ago
Hmm, I'd say it's the number of data measurement points that gets reduced. Gotta love those efficient experimental designs!
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Dalene
20 hours ago
Absolutely, Fractional Factorial designs are great for reducing the number of data points.
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Lezlie
9 days ago
C) Number of data measurement points
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Thea
22 days ago
A) Time and cost of experiments
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Paris
2 months ago
Fractional factorial designs definitely help cut down on time and cost of experiments. A no-brainer for me!
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Levi
6 days ago
Yes, it simplifies the process without sacrificing accuracy.
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Detra
14 days ago
C) Number of data measurement points
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Cherry
16 days ago
I agree, it's a great way to save resources.
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Casandra
20 days ago
A) Time and cost of experiments
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Peggie
1 months ago
C) Number of data measurement points
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Cathrine
1 months ago
A) Time and cost of experiments
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Buck
2 months ago
C) Number of data measurement points. With fewer runs, we need to be strategic about where we collect data.
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Stephaine
2 months ago
I agree with Lorean, using Fractional Factorial designs can save time and money.
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Lorean
2 months ago
A) Time and cost of experiments
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