Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

SAS A00-240 Exam - Topic 6 Question 89 Discussion

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)
D) Sequential random sampling with replacement
A) Simple random sampling without replacement
B) Simple random sampling with replacement
C) Stratified random sampling without replacement

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.)

Show Suggested Answer Hide Answer
Suggested Answer: D

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

Limited Time Offer

25%

Off

Get Premium A00-240 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Winifred
9 months ago
I thought sampling with replacement was always okay?
upvoted 0 times
...
Lynelle
10 months ago
Totally agree, A and C are solid methods!
upvoted 0 times
...
Evette
10 months ago
Wait, is D really a thing? Sounds off.
upvoted 0 times
...
Tamra
10 months ago
I think B could work too, but not as well.
upvoted 0 times
...
Kaycee
10 months ago
A and C are the best choices!
upvoted 0 times
...
Kati
11 months ago
I’m leaning towards A and C too, but I remember something about replacement being tricky in model assessment.
upvoted 0 times
...
Anabel
11 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.
upvoted 0 times
...
Nell
11 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.
upvoted 0 times
...
Mollie
11 months ago
I remember that simple random sampling without replacement is often used, but I'm not sure about the second option.
upvoted 0 times
...
Mitsue
11 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.
upvoted 0 times
...
Lashawnda
11 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.
upvoted 0 times
...
Horace
11 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.
upvoted 0 times
...
Curtis
11 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.
upvoted 0 times
...
Rikki
11 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.
upvoted 0 times
...
Gracie
11 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.
upvoted 0 times
...
Bernardo
12 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.
upvoted 0 times
...
Marya
12 months ago
Has to be B, right? I recall it's about categorizing inventory based on quantity needed.
upvoted 0 times
...
Renea
1 year 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?
upvoted 0 times
Arlene
1 year ago
B) Simple random sampling with replacement
upvoted 0 times
...
Sheron
1 year ago
I agree, 'sequential random sampling' does sound better than 'random sequential sampling'.
upvoted 0 times
...
Monte
1 year ago
C) Stratified random sampling without replacement
upvoted 0 times
...
Ling
1 year ago
A) Simple random sampling without replacement
upvoted 0 times
...
...
Lettie
1 year 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!
upvoted 0 times
...
Carmen
1 year 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.
upvoted 0 times
...
France
1 year 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.
upvoted 0 times
Nell
1 year ago
I think it's important to choose the right sampling method for accurate model assessment.
upvoted 0 times
...
Bo
1 year ago
D) Sequential random sampling with replacement
upvoted 0 times
...
Twanna
1 year ago
B) Simple random sampling with replacement
upvoted 0 times
...
Paris
1 year ago
Yeah, I agree. Sampling with replacement does seem a bit like cheating.
upvoted 0 times
...
Gabriele
1 year ago
C) Stratified random sampling without replacement
upvoted 0 times
...
Lilli
1 year ago
C) Stratified random sampling without replacement
upvoted 0 times
...
Jaime
1 year ago
A) Simple random sampling without replacement
upvoted 0 times
...
Loren
1 year ago
A) Simple random sampling without replacement
upvoted 0 times
...
...
Hoa
1 year 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.
upvoted 0 times
Maryanne
1 year ago
Those are the two acceptable sampling methods for partitioning data for model assessment.
upvoted 0 times
...
Raul
1 year ago
C) Stratified random sampling without replacement
upvoted 0 times
...
Jill
1 year ago
A) Simple random sampling without replacement
upvoted 0 times
...
...
Julian
1 year ago
I'm not sure about D, but I know A and C are commonly used for sampling.
upvoted 0 times
...
Carmela
1 year ago
I agree with Sheldon. A and C make sense for model assessment.
upvoted 0 times
...
Sheldon
1 year ago
I think A and C are acceptable.
upvoted 0 times
...

Save Cancel