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IASSC ICBB Exam - Topic 5 Question 105 Discussion

Control Charts were developed by Dr. Shewhart to track data over time. To detect Special Cause variation the Control Charts use which of these?
C) Center Line and Control Limits
A) Data shift analysis
B) Outlier analysis methods
D) None of the above

IASSC ICBB Exam - Topic 5 Question 105 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 105
Topic #: 5
[All ICBB Questions]

Control Charts were developed by Dr. Shewhart to track data over time. To detect Special Cause variation the Control Charts use which of these?

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Suggested Answer: C

by Tijuana at May 11, 2026, 08:44 AM

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Glen
3 days ago
Agreed! That's what I remember from class.
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Marshall
8 days ago
I think it's C. Center Line and Control Limits.
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Salley
13 days ago
C makes the most sense, no doubt about it!
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Hubert
18 days ago
I thought it was A) Data shift analysis at first.
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Fatima
24 days ago
Wait, are we sure about that? Seems too simple.
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Cammy
29 days ago
Totally agree, that's the right answer!
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Macy
1 month ago
It's definitely C) Center Line and Control Limits!
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Dyan
1 month ago
I thought there were other methods involved too, but C makes sense.
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Moira
1 month ago
Yup, C is the right answer for tracking variations.
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Margarett
2 months ago
Wait, are we sure about that? I thought it was more complex.
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Ahmad
2 months ago
Totally agree, that's the standard method!
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Fernanda
2 months ago
It's definitely C) Center Line and Control Limits!
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Julieta
2 months ago
I definitely recall that Control Charts rely on the Center Line and Control Limits. It’s a fundamental concept in quality control!
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Wade
2 months ago
I’m a bit confused about this one. I thought outlier analysis methods might also be relevant, but I guess they’re not the main focus for Control Charts?
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Gail
3 months ago
I remember practicing a question like this, and I think the answer was C. The Center Line and Control Limits are crucial for detecting variations.
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Mirta
4 months ago
I think Control Charts use Center Line and Control Limits to identify Special Cause variation, but I'm not entirely sure.
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