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ASQ CSSGB Exam - Topic 5 Question 47 Discussion

Actual exam question for ASQ's CSSGB exam
Question #: 47
Topic #: 5
[All CSSGB Questions]

Inferential Statistics is largely about Significance. There are both Practical and _______________ Significance to consider during an analysis of data in a Lean Six Sigma project.

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Suggested Answer: C

by Sharika at May 28, 2024, 12:01 PM

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Mertie
6 months ago
Statistical makes the most sense here.
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Tijuana
6 months ago
I thought it was Impractical for a second!
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Lettie
6 months ago
Wait, are we sure it's not Practical?
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Harris
7 months ago
Totally agree, it's all about the stats.
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Whitney
7 months ago
It's definitely Statistical significance!
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Mattie
7 months ago
I think it’s "Statistical" significance because it relates to how we interpret data in our projects.
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Harrison
7 months ago
I feel like "Impractical" doesn't fit here, but I'm a bit confused about the exact terms we used.
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Danica
7 months ago
I remember practicing questions about significance, and "Practical" and "Statistical" were definitely mentioned together.
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Ruthann
8 months ago
I think the answer might be "Statistical" significance, but I'm not completely sure. We talked about it in class.
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Vesta
8 months ago
This seems like a pretty standard Inferential Statistics question. The two main types of significance we need to consider are practical and statistical, so I'm going to go with "Statistical" as the missing word.
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Eden
8 months ago
Okay, let me think this through. Inferential Statistics is focused on significance, and in a Lean Six Sigma project, we need to look at both practical and something else. I'm going to guess that the missing word is "Statistical".
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Laquanda
8 months ago
I'm a little unsure about this one. Is it asking about the different types of significance we need to consider in a Lean Six Sigma project? I'm not 100% confident, but I'll go with "Statistical" as the missing word.
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Kristel
8 months ago
Hmm, this one seems pretty straightforward. I think the key is to remember that Inferential Statistics is all about significance, both practical and statistical. The missing word here is probably "Statistical".
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Heike
8 months ago
I'm a bit confused on this one. Is there a specific reason why a trigger would be better than an assignment rule or workflow? I'll need to double-check the requirements to make sure I'm understanding this correctly.
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Cheryl
8 months ago
I'm a little confused by the different YTMs and how they relate to the spread. I'll need to review my notes on bond pricing to make sure I'm approaching this correctly.
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Genevive
1 year ago
Statistical significance? More like 'statistically significant'! Amirite? Anyway, D) is the answer.
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Jaime
1 year ago
Easy peasy, D) Statistical is the way to go. Wouldn't want to overlook that crucial aspect of inferential stats.
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Tammara
11 months ago
D) Statistical
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Walker
11 months ago
C) Usable
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Giuseppe
11 months ago
B) Impractical
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Adaline
12 months ago
A) Problematic
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Stephaine
1 year ago
Ha! I almost went with A) Problematic, but that would just be a headache. Gotta go with the statistical significance option.
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Sharen
11 months ago
Definitely, focusing on statistical significance helps us make informed decisions in Lean Six Sigma projects.
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Stephane
12 months ago
Yeah, practical significance is important too, but statistical significance is what really matters.
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Fletcher
1 year ago
I agree, statistical significance is key in Inferential Statistics.
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Nickie
1 year ago
Hmm, I was debating between C) Usable and D) Statistical, but D) makes more sense. Can't forget the statistical side of things in inferential statistics!
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Rodrigo
1 year ago
Yes, statistical significance is a key aspect to keep in mind during data analysis.
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Nadine
1 year ago
I agree, D) Statistical is definitely important to consider in inferential statistics.
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Brock
1 year ago
D) Statistical significance is definitely the correct answer here. Practical and statistical significance are the two key considerations in Lean Six Sigma data analysis.
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Page
12 months ago
D) Statistical
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Carmelina
12 months ago
C) Usable
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Amira
1 year ago
B) Impractical
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Genevieve
1 year ago
A) Problematic
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Andra
1 year ago
A) Problematic. Ignoring problematic significance can lead to incorrect conclusions in data analysis.
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Alpha
1 year ago
D) Statistical. Statistical significance is crucial in making informed decisions in Lean Six Sigma projects.
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Buddy
1 year ago
C) Usable. It's important to consider both practical and usable significance in data analysis.
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