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Six Sigma ICBB Practice Test - Questions Answers, Page 20

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Question 191

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A dock worker for a feed supplier was tasked with assuring the proper weight in the feed bags as they left the dock. One of the columns listed the range of weight of the bags included in the studies. This required plotting a Histogram of the weight of the bags. While drawing the Histogram the x-axis contained a certain scale of data. Pick the scale of data that is appropriate for Histograms.

Ordinal Scale Data
Ordinal Scale Data
Interval Scale Data
Interval Scale Data
Nominal Scale Data
Nominal Scale Data
Ration Scale Data
Ration Scale Data
Suggested answer: B
asked 23/09/2024
Lea Kohl
46 questions

Question 192

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The _______ is the most frequently occurring value in a distribution of data.

Median
Median
Mean
Mean
Center Point
Center Point
Mode
Mode
Suggested answer: D
asked 23/09/2024
Jason Evans
47 questions

Question 193

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Use this data to calculate the Z Score. Average of: 92, Standard Deviation: 2, Upper Spec Limit: 101

0.75
0.75
1.5
1.5
2.25
2.25
4.50
4.50
Suggested answer: D
asked 23/09/2024
Lukasz Malaczek
32 questions

Question 194

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If a Belt needed to model the data for the number of weaves in section of carpet fabric she would use the _____________ Distribution approach.

Poisson
Poisson
Extended
Extended
Exponential
Exponential
Weibull
Weibull
Suggested answer: A
asked 23/09/2024
Akram Abou Soultan
32 questions

Question 195

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When analyzing the behavior of our process to assess customer satisfaction we are concerned about both the variation such that it stays within the spec limits and how well the Mean is __________________ the process requirements.

Balanced against
Balanced against
Over and above
Over and above
Twice as great as
Twice as great as
Centered relative to
Centered relative to
Suggested answer: D
asked 23/09/2024
Stefan Duerr
26 questions

Question 196

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Using this partial Z Table, how many units from a month's production run are expected to not satisfy customer requirements for the following process?

Upper specification limit: 8.4 Lower specification limit: 4.7 Mean of the process: 6.2 Standard Deviation: 2.2 Monthly production: 360 units

8
8
13
13
28
28
57
57
Suggested answer: D
asked 23/09/2024
ftere yagoglu
32 questions

Question 197

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A Full Factorial experiment using a 2 level 4 factor approach has been proposed to test the viability of an extrusion machine experiment. How many treatment combinations will this approach involve?

8
8
16
16
32
32
64
64
Suggested answer: B
asked 23/09/2024
MM rahn
41 questions

Question 198

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

Six Sigma ICBB image Question 198 72424 09232024004307000000

When the cutting speed increased from low to high level, the tool age increases
When the cutting speed increased from low to high level, the tool age increases
The coefficient of the metal hardness is positively related to the output of tool age
The coefficient of the metal hardness is positively related to the output of tool age
The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age
The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age
These plots prove a statistically significance factor with 95% confidence
These plots prove a statistically significance factor with 95% confidence
These plots are an example of interaction plots
These plots are an example of interaction plots
Suggested answer: A, B, C
asked 23/09/2024
Oleksii Derevianchenko
33 questions

Question 199

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Which statement(s) are incorrect for the Regression Analysis shown here? (Note: There are 2 correct answers).

Six Sigma ICBB image Question 199 72425 09232024004307000000

The air-fuel ratio explains most of the TurbineOutput variation
The air-fuel ratio explains most of the TurbineOutput variation
The Regression explains over 98% of the process variation
The Regression explains over 98% of the process variation
This Multiple Linear Regression has three statistically significant independent variables
This Multiple Linear Regression has three statistically significant independent variables
If the air-fuel ratio increases by 1, the TurbineOutput more than triples
If the air-fuel ratio increases by 1, the TurbineOutput more than triples
The SteamExitTemp explains the most variation of the TurbineOutput
The SteamExitTemp explains the most variation of the TurbineOutput
Suggested answer: D, E
asked 23/09/2024
juan manuel torrado
34 questions

Question 200

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Fractional Factorial Designs are used to analyze factors to model the output as a function of inputs if Hypothesis Testing in the Analyze Phase was inadequate to sufficiently narrow the factors that significantly impact the output(s).

True
True
False
False
Suggested answer: A
asked 23/09/2024
vladimir nezgoda
34 questions
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