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.

ATrue

BFalse

Show Suggested Answer

Suggested Answer: B

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

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Aretha

2 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

23 days ago

True it is then. Let's not overthink it.

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Billy

29 days ago

I'm with you on that. Let's go with True and play it safe.

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Mitsue

1 months ago

Yeah, I get that. But I'm sticking with True, I don't want to risk it.

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Elroy

1 months ago

I think it's True, but I get what you mean about wanting to be different.

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Melissa

2 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

2 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

2 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

26 days ago

True

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Annmarie

28 days ago

I think it's false too. Let's look into it further.

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Chan

1 months ago

True

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Catarina

1 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

2 months ago

B) False

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Theola

2 months ago

A) True

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Almeta

2 months ago

B) False

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Zena

2 months ago

A) True

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Elfriede

3 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

3 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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