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GAQM CLSSBB-001 Exam - Topic 3 Question 31 Discussion

Actual exam question for GAQM's CLSSBB-001 exam
Question #: 31
Topic #: 3
[All CLSSBB-001 Questions]

Which statement(s) are correct about the Factorial Plot shown here? (Note: There are 3 correct answers).

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Suggested Answer: B

by Devorah at Jul 27, 2023, 08:44 AM

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Chanel
6 months ago
C looks correct, cutting speed does have a lower coded coefficient.
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Rolf
6 months ago
Wait, are these really interaction plots? I thought they were just regular factorials.
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Hobert
6 months ago
B seems spot on, metal hardness really affects tool performance.
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Genevive
6 months ago
I disagree with D, not sure if the confidence level is that high.
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Yolande
7 months ago
A is definitely true, higher speed usually means longer tool life.
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Dacia
7 months ago
I believe option D is likely correct because we often look for statistical significance at the 95% confidence level in these plots.
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Gene
7 months ago
I'm a bit confused about option C. I recall something about coded coefficients, but I can't remember how they relate to cutting speed versus cutting angle.
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Nana
7 months ago
I remember practicing a similar question where we discussed the relationship between metal hardness and tool performance. I feel like option B could be right.
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Lacresha
7 months ago
I think option A might be correct since increasing cutting speed usually leads to better tool age, but I'm not entirely sure.
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Lawrence
7 months ago
Hmm, I'm a bit confused on this. I know we can apply aggregation functions like sum, max, min, etc. on integer columns, but I'm not sure about the other options. I'll have to think this through carefully.
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Reiko
7 months ago
Okay, I think I've got this. The key is to focus on the planning section and how it relates to the audit engagement process. I'll make sure to double-check my work.
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Elfriede
7 months ago
Okay, I've got this. I'd go with option B - adding a `calculateTotal()` method to the JavaScript and then calling that in the template. That way, the logic is encapsulated in the component and the template is just displaying the result.
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Eliz
8 months ago
This seems pretty straightforward. The image clearly shows the storage capacity for each worker node, so I just need to add those up to get the total.
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Kizzy
1 year ago
Looks like the tool age is as unpredictable as a toddler on a sugar high. Better bring a hard hat to the factory floor!
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Tayna
1 year ago
The factorial plot is like a crystal ball for tool age - it sees all, knows all! Except for those pesky factors that weren't included, of course.
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Olen
1 year ago
These plots are a classic example of interaction plots, showing how the factors interact to influence the output.
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Zack
11 months ago
D) These plots prove a statistically significance factor with 95% confidence
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Altha
11 months ago
B) The coefficient of the metal hardness is positively related to the output of tool age
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Cordie
11 months ago
A) When the cutting speed increased from low to high level, the tool age increases
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Ciara
1 year ago
These plots prove statistical significance at the 95% confidence level, which is a common threshold for engineering applications.
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Asuncion
12 months ago
D) These plots prove a statistically significance factor with 95% confidence
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Harrison
12 months ago
B) The coefficient of the metal hardness is positively related to the output of tool age
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Daren
12 months ago
A) When the cutting speed increased from low to high level, the tool age increases
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Lennie
1 year ago
The coded coefficient is indeed lower for cutting speed than the cutting angle, which suggests that the cutting angle has a stronger effect on the tool age.
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Roselle
12 months ago
D) These plots prove a statistically significance factor with 95% confidence
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Augustine
1 year ago
C) The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age
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Simona
1 year ago
A) When the cutting speed increased from low to high level, the tool age increases
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Launa
1 year ago
The coefficient of the metal hardness is positively related to the tool age output, as indicated by the plot. This makes sense from an engineering perspective.
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Laticia
1 year ago
The factorial plot clearly shows that the cutting speed has a significant impact on the tool age. Increasing the cutting speed from low to high level increases the tool age.
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Gracia
1 year ago
D) These plots prove a statistically significance factor with 95% confidence
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Shenika
1 year ago
B) The coefficient of the metal hardness is positively related to the output of tool age
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Colene
1 year ago
A) When the cutting speed increased from low to high level, the tool age increases
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Yen
1 year ago
I'm not sure about statement E, do you think these plots are actually interaction plots?
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Arlette
1 year ago
I agree with statement D because it mentions statistical significance with 95% confidence.
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Yen
1 year ago
I think statement A is correct because as cutting speed increases, tool age also increases.
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