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IASSC ICGB Exam - Topic 3 Question 95 Discussion

__________ Distributions occur when data comes from several sources that are supposed to be the same yet are not.
A) Skewed
C) Gaussian
D) Tri-peaked
B) Bimodal

IASSC ICGB Exam - Topic 3 Question 95 Discussion

Actual exam question for IASSC's ICGB exam
Question #: 95
Topic #: 3
[All ICGB Questions]

__________ Distributions occur when data comes from several sources that are supposed to be the same yet are not.

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Suggested Answer: A

by Adelina at Jan 26, 2026, 06:43 PM

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Candida
20 days ago
Agreed! It shows variability from the same source.
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Pilar
25 days ago
I feel it's tricky, but "Heterogeneous" fits well.
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Chaya
1 month ago
Yeah, that makes sense. Different sources, different results.
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Theola
3 months ago
I think it's "Heterogeneous" distributions.
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Joseph
3 months ago
Really? I thought all sources should be consistent.
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Rutha
3 months ago
I've seen this happen in surveys all the time.
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Margot
3 months ago
Wait, are you sure about that? Sounds a bit off.
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Lashandra
3 months ago
Totally agree, it's a common issue in research.
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Eric
3 months ago
That's called heterogeneous distributions!
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Shawna
4 months ago
Mixture distribution? Sounds like a cocktail to me! But I guess that's the right answer.
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Adelle
4 months ago
Mixture distribution, definitely. I remember that one from the practice questions.
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Mel
4 months ago
Mixture distribution, for sure. That's the one where the data comes from different sources, right?
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Armanda
4 months ago
Hmm, I remember learning about this in my statistics class. Isn't it called a mixture distribution?
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Evette
4 months ago
I think it's called a mixed distribution, but I'm not entirely sure.
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Johnson
4 months ago
I remember something about how these distributions can affect the overall analysis, but I can't quite remember the term we used.
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Millie
5 months ago
I feel like it could also be "non-homogeneous distributions," but I can't recall the exact definition we studied.
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Latosha
5 months ago
This sounds similar to a practice question we did on mixed distributions. I remember it had to do with variability among sources.
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Viola
6 months ago
I think the answer might be "heterogeneous distributions," but I'm not completely sure.
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Anika
6 months ago
Hmm, I'm a little lost on this one. "__________ Distributions" - is that referring to a specific statistical concept? I'm drawing a blank. I guess I'd try to explain what I know about probability distributions in general, but I'm not sure that would fully answer the question. Might be a good idea to leave some space and come back to it later.
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Renea
6 months ago
Okay, I think I've got an idea on how to approach this. If the data is supposed to be the same but isn't, that could be related to things like mixed distributions or compound distributions. I'd try to explain the general concept and then give a specific example to illustrate it. Hopefully that would show I understand the core idea.
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Stephania
6 months ago
Ugh, this is a tricky one. I'm not totally sure what "__________ Distributions" refers to. Is that a specific type of probability distribution? I'd have to think back to my stats lectures to remember the different types. Maybe I could try to brainstorm some examples of when data might come from different sources but be supposed to be the same.
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Asha
6 months ago
This looks like a question about probability distributions. I'd start by thinking about what that means - when data comes from different sources that should be the same but aren't. Hmm, maybe I could relate that to concepts like sampling error or measurement error.
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Lauran
4 days ago
Or maybe it's about measurement error affecting results.
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Merissa
9 days ago
Yeah, could be about sampling error.
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Sharee
15 days ago
Sounds like a question about variability in data!
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