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IASSC Exam ICBB Topic 9 Question 83 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 83
Topic #: 9
[All ICBB Questions]

Which of these is not a primary cause for Non-normal Data?

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Suggested Answer: D

Contribute your Thoughts:

Reena
2 months ago
Skewness, Mixed Distributions, and Kurtosis are all legit causes of Non-normal Data. Formulosis just sounds like a made-up condition, like 'Boneitis' from Futurama.
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Fausto
23 days ago
E) Granularity
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Minna
30 days ago
D) Formulosis
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Caitlin
1 months ago
C) Kurtosis
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Leota
1 months ago
B) Mixed Distributions
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Belen
1 months ago
A) Skewness
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Helga
2 months ago
I think E) Granularity can also lead to non-normal data.
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Amie
2 months ago
Granularity? Is that when the data is too grainy, like those old-school photos? I'd go with D) Formulosis, sounds like something I need to take a pill for.
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Leonardo
2 months ago
I'd go with D) Formulosis, sounds like something I need to take a pill for.
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Karol
2 months ago
Granularity? Is that when the data is too grainy, like those old-school photos?
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Ty
2 months ago
I believe C) Kurtosis is also a primary cause for Non-normal Data.
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Dexter
3 months ago
Ah, Formulosis? I thought that was a medical condition, not a statistics term. Gotta watch out for those tricky distractors.
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Kanisha
1 months ago
E) Granularity
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Rutha
2 months ago
C) Kurtosis
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Jose
2 months ago
B) Mixed Distributions
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Curtis
2 months ago
A) Skewness
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Viola
3 months ago
I'm pretty sure Kurtosis is a primary cause for Non-normal Data. Looks like D) Formulosis is the odd one out here.
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Mel
1 months ago
Granularity can also contribute to Non-normal Data in some cases.
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Nieves
2 months ago
Skewness and Mixed Distributions are also common causes of Non-normal Data.
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Daniela
2 months ago
Yeah, I think you're right. Formulosis seems like the odd one out.
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Audry
2 months ago
I agree, Kurtosis is definitely a primary cause for Non-normal Data.
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Vallie
3 months ago
I agree with Leslee, Formulosis doesn't affect data distribution.
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Leslee
3 months ago
I think D) Formulosis is not a primary cause for Non-normal Data.
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