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Six Sigma ICBB Practice Test - Questions Answers, Page 8

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When a Belt decides to use written procedures and visual controls to improve the consistency of the tasks that must occur in the process he is improving he has utilized the _________________ activity of 5S.

A.
Sustaining
A.
Sustaining
Answers
B.
Sorting
B.
Sorting
Answers
C.
Standardizing
C.
Standardizing
Answers
D.
Straightening
D.
Straightening
Answers
Suggested answer: C

SPC Charts are used extensively in different business and decision-making environments. In this example a vendor is being selected based on speed of delivery. Which of the conclusions would help you pick a vendor for your needs regarding lead-time of delivery from your vendors? (Note: There are 4 correct answers).

A.
Vendor A with a much shorter lead time in delivery
A.
Vendor A with a much shorter lead time in delivery
Answers
B.
Vendor B as it has a better consistency (lower variance) on lead time
B.
Vendor B as it has a better consistency (lower variance) on lead time
Answers
C.
Vendor B as Vendor A shows a situation out of control as shown in red
C.
Vendor B as Vendor A shows a situation out of control as shown in red
Answers
D.
Vendor B as the Control Limits are much narrower than Vendor A
D.
Vendor B as the Control Limits are much narrower than Vendor A
Answers
E.
Vendor B with higher lead time, but a process with much narrower Control Limits
E.
Vendor B with higher lead time, but a process with much narrower Control Limits
Answers
Suggested answer: B, C, D, E

Fractional Factorial designs are used to reduce the ____________ because the number of runs has been lowered.

A.
Time and cost of experiments
A.
Time and cost of experiments
Answers
B.
Number of people involved
B.
Number of people involved
Answers
C.
Number of data measurement points
C.
Number of data measurement points
Answers
D.
Output summary
D.
Output summary
Answers
Suggested answer: A

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).

A.
True
A.
True
Answers
B.
False
B.
False
Answers
Suggested answer: A

A Factorial Experiment based on a Level 2 Design with 6 factors would require 16 runs to fully assess the interactions.

A.
True
A.
True
Answers
B.
False
B.
False
Answers
Suggested answer: B

A Full Factorial experiment using a 3 level 3 factor approach has been proposed to test the viability of an extrusion machine experiment. How many treatment combinations will this approach involve?

A.
6
A.
6
Answers
B.
9
B.
9
Answers
C.
27
C.
27
Answers
D.
54
D.
54
Answers
Suggested answer: C

Screening experiments are the proper choice when a Belt is faced with the situation of highly Fractional Factorial Designs.

A.
True
A.
True
Answers
B.
False
B.
False
Answers
Suggested answer: A

Which statement(s) are correct about the DOE Factorial plot output here? (Note: There are 3 correct answers).

A.
Two factors were operated at 3 levels each
A.
Two factors were operated at 3 levels each
Answers
B.
The highest tool age was achieved with metal hardness at high level while keeping the cutting speed at the low level
B.
The highest tool age was achieved with metal hardness at high level while keeping the cutting speed at the low level
Answers
C.
The design indicated above is a 32 factorial design
C.
The design indicated above is a 32 factorial design
Answers
D.
The cutting speed and cutting angle are at the low level for the least tool age achieved
D.
The cutting speed and cutting angle are at the low level for the least tool age achieved
Answers
E.
All factors had 2 levels in the experiment
E.
All factors had 2 levels in the experiment
Answers
Suggested answer: B, C, E

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

A.
The air-fuel ratio explains most of the TurbineOutput variation
A.
The air-fuel ratio explains most of the TurbineOutput variation
Answers
B.
The Regression explains over 98% of the process variation
B.
The Regression explains over 98% of the process variation
Answers
C.
This Multiple Linear Regression has three statistically significant independent variables
C.
This Multiple Linear Regression has three statistically significant independent variables
Answers
D.
If the air-fuel ratio increases by 1, the TurbineOutput more than triples
D.
If the air-fuel ratio increases by 1, the TurbineOutput more than triples
Answers
E.
The SteamExitTemp explains the most variation of the TurbineOutput
E.
The SteamExitTemp explains the most variation of the TurbineOutput
Answers
Suggested answer: D, E

Which statement(s) are most correct for the Regression Analysis shown here?

A.
The Regression explains 50.8% of the process variation
A.
The Regression explains 50.8% of the process variation
Answers
B.
The air-fuel ratio explains most of the TurbineOutput variation
B.
The air-fuel ratio explains most of the TurbineOutput variation
Answers
C.
This Simple Linear Regression explains 98+% of the process variation
C.
This Simple Linear Regression explains 98+% of the process variation
Answers
D.
This Multiple Linear Regression has four statistically significant independent variables
D.
This Multiple Linear Regression has four statistically significant independent variables
Answers
Suggested answer: B
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