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Fractional Factorial designs for an experimental approach are used when ____________ about the multiple metric interaction in a process.
Suggested Answer: A
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30 comments · newest first
FI
Filiberto
11 months ago
Not sure about that... seems too simple.
NY
Nydia
11 months ago
Definitely B! Makes the most sense.
TE
Tequila
12 months ago
Wait, are we really using fractional designs when we don’t care?
EA
Earleen
12 months ago
I think it’s when much is known, right?
BU
Buck
12 months ago
Little is known, for sure!
ET
Ethan
1 year ago
I’m leaning towards B as well, but I wish I had reviewed more examples to feel confident about it.
BE
Bernardo
1 year ago
I feel like it could also be A, but that doesn't seem right. We usually use fractional designs when we need to gather more information.
GE
Gerardo
1 year ago
I remember practicing a question like this, and I think the answer is B, since we use these designs to explore unknown factors.
IS
Isreal
1 year ago
I think fractional factorial designs are used when little is known about the interactions, but I'm not entirely sure.
AL
Alica
1 year ago
Okay, I think I've got this. The key is to focus on the "company device policies" requirement. That means we need to select the app formats that are supported by the company's devices. Based on the options provided, that would be Mobile and Desktop.
HE
Herminia
1 year ago
I'm a bit confused about the "need access to all external data in near real-time" option. Does that mean we need to pull all the order data from the ERP system, or just the most recent 5 orders per customer? I want to make sure I select the right justifications.
CO
Coletta
1 year ago
Okay, let me think this through. A stationary point is where the derivative is zero, so the tangent is horizontal. I think the answer is A.
RA
Ranee
1 year ago
The key is to focus on the specific benefits of OTV for connecting multisite topologies. I'll make sure to select the two most relevant reasons.
ET
Ettie
1 year ago
I don't know, maybe we should just use a magic 8-ball to determine the answer. That's about as scientific as option C.
LA
Lai
1 year ago
Data exists? Really? That's like saying 'I know the answer, I just don't want to tell you.' Option D is just ridiculous.
TR
Trinidad
1 year ago
Wait, we don't care about the multiple metric interaction? That's like saying we don't care about the heart of the experiment! Option C is clearly a joke answer.
VA
Vashti
1 year ago
D) Data exists
WA
Wai
1 year ago
B) Little is known
MA
Madonna
1 year ago
D) Data exists
JE
Jettie
1 year ago
A) Much is known
NI
Nieves
1 year ago
B) Little is known
LA
Lauryn
1 year ago
A) Much is known
MI
Mi
1 year ago
I'm going to have to go with B as well. It's the only answer that makes sense in the context of fractional factorial designs.
TA
Tammara
1 year ago
C) We don't care
CA
Carma
1 year ago
B) Little is known
NA
Nana
1 year ago
A) Much is known
EL
Elfrieda
1 year ago
Option B seems like the most logical choice here. Fractional factorial designs are used when we have limited knowledge about the interactions in a process.
FA
Fallon
1 year ago
I agree, it allows us to efficiently explore the effects of different factors with fewer runs.
NY
Nydia
1 year ago
I think using Fractional Factorial designs is helpful when little is known about the multiple metric interaction.
CL
Clay
1 year ago
B) Little is known