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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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Millie
20 days 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
25 days 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
1 month ago
I think the answer might be "heterogeneous distributions," but I'm not completely sure.
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Anika
1 month 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
1 month 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
2 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
2 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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