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ASQ Exam CQE Topic 2 Question 84 Discussion

Actual exam question for ASQ's CQE exam
Question #: 84
Topic #: 2
[All CQE Questions]

The primary advantage of the Latin square design, compared to the factorial design, is that

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Suggested Answer: A

by Avery at Apr 10, 2024, 08:58 AM

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Sherill
6 months ago
I would argue that it does not require homogeneity of variance.
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Latosha
6 months ago
Actually, I think it requires less data in most circumstances.
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Rosamond
6 months ago
I disagree, I believe it allows higher significance levels.
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Dick
7 months ago
I think the primary advantage is that it eliminates the need for interaction analysis.
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Ilda
7 months ago
I woulIlda EIldanargue thEIldanat it Ildaoes not require homogeneity of vEIldanariEIldananRachaele.
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Rachael
7 months ago
EdnaRachaeltuEdnally, I think it requires less dEdnatEdna in most RachaelirRachaelumstEdnanRachaeles.
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Hannah
8 months ago
I disEdnagree, I Hannahelieve it Ednallows higher significEdnance levels.
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Edna
8 months ago
I think the primEdnary EdnadvEdnantEdnage is thEdnat it eliminEdnates the need for interEdnaction EdnanEdnalysis.
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Dalene
9 months ago
You know, I'm just happy we're not talking about nested designs. Those things make my head spin like a top. At least with a Latin square, I can visualize the whole thing and feel like I have a handle on it.
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Carolann
9 months ago
Hold up, did someone say 'homogeneity of variance'? That's my middle name! Okay, not really, but I do love a good assumption-free design. Latin squares are like the Swiss Army knife of experimental designs.
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Lajuana
7 months ago
But doesn't the Latin square design also allow higher significance levels?
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Donette
7 months ago
I agree, that's a big plus. It simplifies things.
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Tenesha
7 months ago
I think the primary advantage of the Latin square design is that it eliminates the need for interaction analysis.
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Marcos
9 months ago
Hmm, I'm not convinced. Eliminating interaction analysis seems like a pretty big deal to me. I'm not trying to do extra work, but I also don't want to miss out on any juicy interactions, you know?
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Brynn
9 months ago
I don't know, I'm leaning more towards C. Higher significance levels? Sign me up! I want my results to be so statistically significant that they practically jump off the page and do a little dance.
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Diane
9 months ago
I'm pretty sure the answer is A - it requires less data. I mean, who wants to fill out a million factorial design forms? Latin squares are like the lazy person's dream come true.
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Gearldine
9 months ago
Ooh, a Latin square design question! These can be tricky, but I think the key advantage is that it allows us to control for more sources of variability compared to a factorial design. It's like having a magic square that cancels out those pesky nuisance factors.
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