ASQ CQE Exam - Topic 3 Question 120 Discussion

Actual exam question for ASQ's CQE exam

Question #: 120
Topic #: 3

An increase in the overall length of a recently qualified metal component has been observed and the quality engineer suspects that the storage temperature could be a factor that has affected the overall length. Which of the following tools could be used to assess this relationship?

AAffinity diagram

BScatter diagram

CHistogram

DCause and effect diagram

Show Suggested Answer

Suggested Answer: B

A scatter diagram is used to assess the relationship between two variables. In this case, it can be used to analyze the relationship between storage temperature and the overall length of the metal component. A scatter diagram helps in visualizing any correlation between the two variables. Reference: 'The Quality Toolbox' by Nancy R. Tague, which provides descriptions and uses for various quality tools including scatter diagrams.

by Yaeko at Jan 05, 2026, 05:16 AM

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Ty

15 days ago

Histogram is less relevant here. We need correlation, not frequency.

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Rebbeca

20 days ago

A cause and effect diagram could help too, but not as direct.

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Johnathon

25 days ago

I agree, scatter diagram makes sense for temperature and length.

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Janine

1 month ago

I think a scatter diagram would be best. It shows relationships clearly.

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Janine

1 month ago

Wait, is storage temperature really a factor? Sounds odd!

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Dwight

1 month ago

Really? I didn't think temperature could affect metal length like that.

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Glory

2 months ago

Histogram? Not sure that fits this situation.

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Charisse

2 months ago

I think a cause and effect diagram could help too.

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Wilda

2 months ago

Scatter diagram is the way to go!

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Howard

2 months ago

B) Scatter diagram, no doubt. Anything else would just be a shot in the dark. Gotta love a good old-fashioned correlation analysis, am I right?

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Julian

2 months ago

Hmm, I'm feeling a bit scatter-brained today. Maybe I should go with B) Scatter diagram? Or was it C) Histogram? Decisions, decisions...

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Nan

2 months ago

B) Scatter diagram for sure. Gotta love a good old-fashioned scatter plot. Bet the quality engineer is just itching to see that data visualized.

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Mel

3 months ago

C) Histogram could work too. Might be able to spot any patterns or outliers in the component lengths that way. Just a thought!

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Ayesha

3 months ago

I'd go with D) Cause and effect diagram. Gotta get to the root of this length issue, you know? Scatter diagram is good, but the cause and effect diagram will really help us dig deeper.

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Lashonda

3 months ago

B) Scatter diagram seems like the obvious choice here. It's perfect for visualizing the relationship between storage temperature and component length.

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Mollie

4 months ago

I recall using affinity diagrams for organizing ideas, but I don't see how that fits this situation. Scatter diagram seems more relevant.

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Amie

4 months ago

I feel like a histogram could help visualize the distribution of lengths, but it doesn't directly show the relationship with temperature, right?

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An

4 months ago

I'm not entirely sure, but I remember practicing with cause and effect diagrams for identifying factors. Could that apply here?

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Bulah

4 months ago

I think a scatter diagram might be the right choice here since it can show the relationship between temperature and length.

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Katie

4 months ago

A histogram could also be useful here, right? We could use it to look at the distribution of component lengths and see if there are any outliers or unusual patterns that might be related to the storage temperature.

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Raylene

4 months ago

I'm leaning towards the scatter diagram as well. It's a great way to get a visual on the data and see if there's any clear pattern or trend. Plus, it's a pretty straightforward tool that I feel comfortable using in the exam setting.

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Joseph

5 months ago

Okay, let's think this through. We want to assess the relationship between storage temperature and component length, so a scatter diagram does seem like the logical choice. That will let us see if there's a linear or non-linear correlation between the two variables.

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Mozelle

5 months ago

I'm a bit unsure about this one. Is a scatter diagram really the best tool here? I'm wondering if a cause and effect diagram might help us identify all the potential factors that could be influencing the component length.

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Cathrine

5 months ago

Hmm, this seems like a classic case of trying to find the relationship between two variables. I'd probably go with a scatter diagram to visualize the data and see if there's any correlation between storage temperature and component length.

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