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GAQM CLSSGB-001 Exam - Topic 9 Question 64 Discussion

Actual exam question for GAQM's CLSSGB-001 exam
Question #: 64
Topic #: 9
[All CLSSGB-001 Questions]

Bias in Sampling is an error due to lack of independence among random samples or due to systematic sampling procedures.

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Suggested Answer: B

by Paola at Oct 18, 2024, 11:47 PM

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Golda
3 months ago
Sounds right, but I wonder if there are exceptions.
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Ozell
3 months ago
Wait, is it really that straightforward?
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Callie
3 months ago
Totally agree, bias really messes up results!
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Sherrell
4 months ago
I disagree, I think it can be more complex than that.
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Erick
4 months ago
True, that's a classic definition of sampling bias.
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Gracie
4 months ago
I thought bias could also happen even with random samples if they're not truly independent, so maybe it's true?
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Marget
4 months ago
This sounds familiar; I feel like we discussed similar questions in practice about systematic errors in sampling.
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Martina
4 months ago
I'm not entirely sure, but I remember something about independence being crucial for valid samples.
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Ryan
5 months ago
I think this statement is true because bias in sampling often comes from how samples are chosen, right?
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Dominic
5 months ago
This question seems straightforward, but I want to make sure I'm not missing anything. I'll review the key points about bias in sampling and then select my answer.
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Maia
5 months ago
Wait, is bias in sampling always due to lack of independence or systematic procedures? I'm not 100% sure about that. I better double-check my notes before answering.
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Viva
5 months ago
Okay, let me break this down. Bias in sampling is when the samples are not independent or the sampling procedure is systematic, leading to errors. I think I've got a good handle on this, so I'll go with True.
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Tricia
5 months ago
Hmm, I'm a little unsure about this. I know bias in sampling is an important concept, but I need to think through the details to make sure I understand it correctly.
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Iluminada
5 months ago
This seems like a straightforward question about bias in sampling. I'm pretty confident I can handle this one.
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Aretha
9 months ago
I'm going with True, but I'm tempted to choose False just to be that quirky exam taker who goes against the grain. Maybe I'll flip a coin, just to be sure.
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Tawny
8 months ago
True it is then. Let's not overthink it.
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Billy
8 months ago
I'm with you on that. Let's go with True and play it safe.
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Mitsue
8 months ago
Yeah, I get that. But I'm sticking with True, I don't want to risk it.
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Elroy
9 months ago
I think it's True, but I get what you mean about wanting to be different.
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Melissa
9 months ago
False? Really? I guess the textbook authors are trying to trick us. But hey, at least it'll keep us on our toes, right? Gotta stay sharp for these certification exams!
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Gretchen
10 months ago
True, definitely true. Anyone who's taken a stats class knows that bias can creep in if you're not super careful with your sampling methods. This one's a no-brainer!
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Rossana
10 months ago
False, huh? I don't know, that sounds a bit too simple. Isn't there more to it than that? Hmm, better double-check my notes on this one.
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Tomas
8 months ago
True
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Annmarie
8 months ago
I think it's false too. Let's look into it further.
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Chan
8 months ago
True
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Catarina
9 months ago
I think it's false because bias in sampling can also occur due to non-response or selection bias.
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Leandro
9 months ago
B) False
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Theola
9 months ago
A) True
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Almeta
9 months ago
B) False
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Zena
9 months ago
A) True
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Elfriede
11 months ago
I disagree, I think the statement is false because bias in sampling can also be due to systematic sampling procedures.
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Alecia
11 months ago
Well, of course it's True! Bias in sampling is a real issue that can seriously skew the results of a study. Gotta be careful with those random samples!
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Ronald
9 months ago
False
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Malcom
10 months ago
It's important to ensure that samples are truly random to avoid bias.
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Laurena
10 months ago
Absolutely, bias in sampling can lead to inaccurate results.
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Marge
10 months ago
True
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Sanjuana
11 months ago
I agree with Alecia, bias in sampling can occur due to lack of independence among random samples.
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Alecia
11 months ago
I think the statement is true.
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