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SAS A00-240 Exam - Topic 6 Question 89 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 89
Topic #: 6
[All A00-240 Questions]

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

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Suggested Answer: D

by Yuki at May 28, 2024, 01:40 AM

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Winifred
3 months ago
I thought sampling with replacement was always okay?
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Lynelle
4 months ago
Totally agree, A and C are solid methods!
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Evette
4 months ago
Wait, is D really a thing? Sounds off.
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Tamra
4 months ago
I think B could work too, but not as well.
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Kaycee
4 months ago
A and C are the best choices!
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Kati
5 months ago
I’m leaning towards A and C too, but I remember something about replacement being tricky in model assessment.
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Anabel
5 months ago
I practiced a question like this, and I feel like both A and C are the right choices, but I’m a bit confused about the replacement part.
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Nell
5 months ago
I think stratified random sampling without replacement is definitely one of the acceptable methods, but I can't recall if the other one is simple random sampling with or without replacement.
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Mollie
5 months ago
I remember that simple random sampling without replacement is often used, but I'm not sure about the second option.
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Mitsue
5 months ago
I'm a bit confused on the difference between simple random sampling with and without replacement. I think without replacement is the way to go, but I'm not 100% sure about the other option. I'll have to review my notes before answering this one.
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Lashawnda
5 months ago
Okay, let me think this through. Simple random sampling without replacement makes sense since we want to avoid duplicates in the training and test sets. And stratified random sampling is also a good choice to ensure the distributions are representative. I'll go with those two.
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Horace
5 months ago
Hmm, I'm a bit unsure about this one. I know simple random sampling is acceptable, but I can't remember if with or without replacement is the right approach. And I'm not confident about the other option.
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Curtis
5 months ago
I'm pretty sure simple random sampling without replacement and stratified random sampling without replacement are the two correct options here. Those are the standard methods we've learned for partitioning data.
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Rikki
5 months ago
The key here is to focus on the question and what it's asking for. Since it's asking about influential observations, I think the Cook's D by Observation plot is the way to go.
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Gracie
5 months ago
Hmm, I'm a bit unsure about this one. I know IPSec provides secure network communication, but I'm not sure which of these options would work best with it for accessing files on a NAS. I'll have to think this through carefully.
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Bernardo
6 months ago
I'm a little confused by the wording of this question. It doesn't seem to match up perfectly with the answer choices provided. I'll have to re-read it a few times to make sure I understand what they're asking for.
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Marya
6 months ago
Has to be B, right? I recall it's about categorizing inventory based on quantity needed.
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Renea
10 months ago
If I had a nickel for every time I saw 'sequential random sampling' on an exam, I'd have... well, a nickel. But hey, at least it's better than 'random sequential sampling', am I right?
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Arlene
9 months ago
B) Simple random sampling with replacement
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Sheron
9 months ago
I agree, 'sequential random sampling' does sound better than 'random sequential sampling'.
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Monte
9 months ago
C) Stratified random sampling without replacement
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Ling
9 months ago
A) Simple random sampling without replacement
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Lettie
10 months ago
I'm more of a 'go big or go home' kind of guy, so I'm picking B and D. Simple random sampling with replacement and sequential random sampling with replacement? That's living on the edge, baby!
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Carmen
10 months ago
I'm going with A and C. Stratified random sampling is a great way to ensure we get a representative sample, and simple random sampling without replacement is a classic.
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France
10 months ago
Woah, hold up! Simple random sampling with replacement? Isn't that just putting the data back in the hat and pulling it out again? Seems a bit like cheating to me.
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Nell
9 months ago
I think it's important to choose the right sampling method for accurate model assessment.
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Bo
9 months ago
D) Sequential random sampling with replacement
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Twanna
9 months ago
B) Simple random sampling with replacement
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Paris
9 months ago
Yeah, I agree. Sampling with replacement does seem a bit like cheating.
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Gabriele
9 months ago
C) Stratified random sampling without replacement
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Lilli
9 months ago
C) Stratified random sampling without replacement
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Jaime
9 months ago
A) Simple random sampling without replacement
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Loren
9 months ago
A) Simple random sampling without replacement
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Hoa
11 months ago
A and C seem like the way to go. Simple random sampling without replacement and stratified random sampling without replacement are both good options for model assessment.
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Maryanne
10 months ago
Those are the two acceptable sampling methods for partitioning data for model assessment.
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Raul
10 months ago
C) Stratified random sampling without replacement
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Jill
10 months ago
A) Simple random sampling without replacement
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Julian
11 months ago
I'm not sure about D, but I know A and C are commonly used for sampling.
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Carmela
11 months ago
I agree with Sheldon. A and C make sense for model assessment.
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Sheldon
11 months ago
I think A and C are acceptable.
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