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GAQM Exam CLSSGB-001 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

Contribute your Thoughts:

Aretha
29 days 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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Mitsue
2 days ago
Yeah, I get that. But I'm sticking with True, I don't want to risk it.
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Elroy
6 days ago
I think it's True, but I get what you mean about wanting to be different.
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Melissa
1 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
1 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
1 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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Catarina
5 days 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
11 days ago
B) False
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Theola
13 days ago
A) True
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Almeta
13 days ago
B) False
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Zena
15 days ago
A) True
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Elfriede
2 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
2 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
24 days ago
False
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Malcom
1 months ago
It's important to ensure that samples are truly random to avoid bias.
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Laurena
1 months ago
Absolutely, bias in sampling can lead to inaccurate results.
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Marge
2 months ago
True
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Sanjuana
2 months ago
I agree with Alecia, bias in sampling can occur due to lack of independence among random samples.
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Alecia
2 months ago
I think the statement is true.
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