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GAQM CLSSBB-001 Exam - 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.

ATime and cost of experiments

BNumber of people involved

CNumber of data measurement points

DOutput summary

Show Suggested Answer

Suggested Answer: A

by Frederica at Sep 17, 2024, 11:47 AM

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Mike

7 months ago

I thought it was about data points, not just cost.

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Kate

8 months ago

A makes the most sense, less runs means less expense!

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Tyra

8 months ago

Wait, are we sure it's not B? Seems like people matter too.

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Stephen

8 months ago

I agree, A is the right choice!

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Vonda

8 months ago

Definitely A! It cuts down on time and cost.

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Carri

9 months ago

I feel like it could be about the number of data measurement points too, but I can't recall any specific examples. A seems more likely though.

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Paris

9 months ago

I practiced a question like this before, and I believe it was about minimizing costs and time. So, I would lean towards A as well.

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Melissa

9 months ago

I'm not entirely sure, but I remember something about how they help with the number of runs needed. Maybe it's related to option A?

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Alecia

9 months ago

I think fractional factorial designs are mainly about reducing the time and cost of experiments, right? That sounds familiar.

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Doyle

9 months ago

I'm pretty confident that the answer is A - time and cost of experiments. Fractional factorial designs are all about reducing the number of experimental runs, which in turn reduces the overall time and cost.

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Stephanie

9 months ago

I'm a bit confused here. Is it the number of people involved, the number of data measurement points, or the output summary that is reduced in fractional factorial designs? I'll have to think this through carefully.

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Chantell

9 months ago

Hmm, this seems straightforward. Fractional factorial designs are used to reduce the time and cost of experiments, since the number of runs is lowered.

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Loren

9 months ago

Okay, I've got it. Fractional factorial designs are used to reduce the time and cost of experiments, since the number of runs has been lowered. That's the key point here.

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Long

9 months ago

State Machine seems like the most logical choice here for handling UI navigation and data processing. I'm pretty confident in that.

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Lorrie

1 year 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

1 year 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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Lorenza

1 year ago

A) Time and cost of experiments

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William

1 year ago

C) Number of data measurement points

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Yun

1 year ago

A) Time and cost of experiments

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Gracia

1 year 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

1 year ago

I agree, the main advantage of Fractional Factorial designs is to reduce the number of data measurement points.

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Lina

1 year ago

C) Number of data measurement points

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Brock

1 year ago

A) Time and cost of experiments

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Joaquin

1 year 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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Catina

1 year ago

D) Output summary

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Dalene

1 year ago

Absolutely, Fractional Factorial designs are great for reducing the number of data points.

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Lezlie

1 year ago

C) Number of data measurement points

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Thea

1 year ago

A) Time and cost of experiments

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Paris

1 year ago

Fractional factorial designs definitely help cut down on time and cost of experiments. A no-brainer for me!

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Levi

1 year ago

Yes, it simplifies the process without sacrificing accuracy.

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Detra

1 year ago

C) Number of data measurement points

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Cherry

1 year ago

I agree, it's a great way to save resources.

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Casandra

1 year ago

A) Time and cost of experiments

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Peggie

1 year ago

C) Number of data measurement points

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Cathrine

1 year ago

A) Time and cost of experiments

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Buck

1 year 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

1 year ago

I agree with Lorean, using Fractional Factorial designs can save time and money.

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Lorean

1 year ago

A) Time and cost of experiments

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