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ASQ CMQ-OE Exam - Topic 5 Question 71 Discussion

Actual exam question for ASQ's CMQ-OE exam
Question #: 71
Topic #: 5
[All CMQ-OE Questions]

The following chart was created from data collected over the past 5 months.

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Suggested Answer: C

by Kandis at Aug 22, 2024, 03:52 PM

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Raina
6 months ago
Wait, are we sure about these conclusions?
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Ollie
6 months ago
Cyclical patterns are pretty common in this type of data.
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Amie
6 months ago
Really? I thought it looked more erratic.
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Armanda
7 months ago
Definitely looks stable to me!
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Lanie
7 months ago
The data shows a clear trend over the last 5 months.
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Zack
7 months ago
"Natural" seems off to me; I don't think that's a common term for describing data trends. I might need to review those definitions again.
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Brendan
7 months ago
I'm leaning towards "erratic" because the data could have fluctuations, but I can't recall the exact definitions we went over.
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Jaclyn
7 months ago
I feel like we practiced a question similar to this one, and "cyclical" was the answer because it had patterns. Maybe that's what this chart shows?
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Loreta
8 months ago
I think I remember that "stable" means the data doesn't change much over time, but I'm not entirely sure if that's the right choice here.
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Mitsue
8 months ago
I feel pretty confident about this one. The data looks pretty stable to me, with no major spikes or dips. I'm leaning towards option A as the best description.
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Ricki
8 months ago
Okay, I think I've got a handle on this. The key is to look for any consistent ups and downs or other recurring patterns in the data. That should help me determine the right answer.
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Elliott
8 months ago
Hmm, I'm not sure what to make of this chart. The data seems a bit all over the place. I might need to do some additional analysis to figure out the best way to characterize the trend.
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Toi
8 months ago
This looks like a pretty straightforward question. I'll start by carefully examining the chart to see if I can spot any clear patterns in the data.
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Julio
8 months ago
Whoa, this chart is really throwing me for a loop. I'm not sure I've seen anything quite like this before. I better take my time and really think through the different options carefully.
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Erinn
8 months ago
This question is right in my wheelhouse. The data model is for sharing inventory and pricing information, which sounds like it would fit under a Common Systems Architecture. I'm confident that's the right answer.
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Onita
2 years ago
I think it's erratic, the fluctuations are too unpredictable.
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Whitley
2 years ago
I would say it's cyclical, there seems to be a pattern.
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Alica
2 years ago
As a data analyst, I live for charts like these. It's like solving a mystery - except the mystery is why my boss keeps asking me to make sense of this nonsense.
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Elvera
2 years ago
D) Natural
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Gary
2 years ago
C) Cyclical
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Michell
2 years ago
B) Erratic
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Britt
2 years ago
A) Stable
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Pa
2 years ago
I agree with Ciara, the data seems consistent.
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Gregg
2 years ago
Ah, the age-old question: is my data stable, erratic, cyclical, or natural? The suspense is killing me!
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Lashawnda
2 years ago
I believe it's stable.
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Romana
2 years ago
I think the data is cyclical.
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Ciara
2 years ago
I think the chart looks stable.
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Emily
2 years ago
D. Natural? Really? I don't see anything natural about this chart, it's just a mess!
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Dominque
2 years ago
C. Cyclical seems like the obvious choice here. This data follows a clear pattern over time.
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Kanisha
2 years ago
C. Cyclical seems like the obvious choice here. This data follows a clear pattern over time.
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Barrett
2 years ago
D) Natural
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Ressie
2 years ago
C) Cyclical
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Olene
2 years ago
B) Erratic
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Tyisha
2 years ago
A) Stable
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Rodney
2 years ago
I think the correct answer is B. Erratic. The chart looks like it's all over the place!
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Bea
2 years ago
I would go with erratic as well, the fluctuations are quite unpredictable.
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Angella
2 years ago
I see what you mean, it's hard to determine a clear trend from this chart.
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Harley
2 years ago
I think it could also be considered cyclical, depending on how you interpret the pattern.
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Wei
2 years ago
I agree, the data does seem to be all over the place.
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