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Six Sigma ICGB Practice Test - Questions Answers, Page 5

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The data on SPC charts are typically constructed such that they have the most recent data point on the right hand side.

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

Which statement(s) describe an undesirable situation when implementing SPC?

A.
The lower Control Limit for the R chart is equal to zero
A.
The lower Control Limit for the R chart is equal to zero
Answers
B.
Attempt to use SPC for tracking transaction times at a warehouse
B.
Attempt to use SPC for tracking transaction times at a warehouse
Answers
C.
A process is in Statistical Control before implementation of SPC
C.
A process is in Statistical Control before implementation of SPC
Answers
D.
The Control Limits are wider than the customer specification limits
D.
The Control Limits are wider than the customer specification limits
Answers
Suggested answer: D

If a process has Outliers which pair of charts is most preferable if subgroups will exist for the Continuous Data?

A.
Individual---Moving Range
A.
Individual---Moving Range
Answers
B.
Xbar-R Charts
B.
Xbar-R Charts
Answers
C.
Xbar-S Charts
C.
Xbar-S Charts
Answers
D.
nP and P Charts
D.
nP and P Charts
Answers
Suggested answer: B

After a Belt has put data through the smoothing process which chart would be used to look for trends in the data?

A.
Moving Average Chart
A.
Moving Average Chart
Answers
B.
Multi-Vari Chart
B.
Multi-Vari Chart
Answers
C.
X bar Chart
C.
X bar Chart
Answers
D.
Pareto Chart
D.
Pareto Chart
Answers
Suggested answer: A

A Belt concludes a Lean Six Sigma project with the creation of a Control Plan. At what point can the Control Plan be closed?

A.
Never, a Control Plan is a living document
A.
Never, a Control Plan is a living document
Answers
B.
As soon as the Champion signs off
B.
As soon as the Champion signs off
Answers
C.
Within 30 days of the LSS project review team meeting
C.
Within 30 days of the LSS project review team meeting
Answers
D.
After the project has been presented at the recognition event
D.
After the project has been presented at the recognition event
Answers
Suggested answer: A

When analyzing a data set we frequently graph one metric as a function of another. If the slope of the Correlation line is -2.5 we would say the two metrics are ___________ correlated?

A.
Positively
A.
Positively
Answers
B.
Not
B.
Not
Answers
C.
Negatively
C.
Negatively
Answers
D.
None
D.
None
Answers
Suggested answer: C

Multiple Linear Regressions (MLR) is best used when which of these are applicable? (Note: There are 3 correct answers).

A.
Non-linear relationships between the inputs X's and output Y
A.
Non-linear relationships between the inputs X's and output Y
Answers
B.
Uncertainty in the slope of the linear relationship between an X and a Y
B.
Uncertainty in the slope of the linear relationship between an X and a Y
Answers
C.
Relationships between Y (output) and more than one X (Input)
C.
Relationships between Y (output) and more than one X (Input)
Answers
D.
Preventing the use of a Designed Experiment if unnecessary
D.
Preventing the use of a Designed Experiment if unnecessary
Answers
E.
We assume that the X's are independent of each other
E.
We assume that the X's are independent of each other
Answers
Suggested answer: C, D, E

Fractional Factorial designs for an experimental approach are used when ____________ about the multiple metric interaction in a process.

A.
Much is known
A.
Much is known
Answers
B.
Little is known
B.
Little is known
Answers
C.
We don't care
C.
We don't care
Answers
D.
Data exists
D.
Data exists
Answers
Suggested answer: B

A Belt will occasionally do a quick experiment referred to as an OFAT which stands for ____________________.

A.
Only a Few Are Tested
A.
Only a Few Are Tested
Answers
B.
Opposite Factors Affect Technique
B.
Opposite Factors Affect Technique
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C.
One Factor At a Time
C.
One Factor At a Time
Answers
D.
Ordinary Fractional Approach Technique
D.
Ordinary Fractional Approach Technique
Answers
Suggested answer: C

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

A.
This Regression is an example of a Multiple Linear Regression.
A.
This Regression is an example of a Multiple Linear Regression.
Answers
B.
This Regression is an example of Cubic Regression.
B.
This Regression is an example of Cubic Regression.
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C.
%Cu explains the majority of the process variance in heat flux.
C.
%Cu explains the majority of the process variance in heat flux.
Answers
D.
Thickness explains over 80% of the process variance in heat flux.
D.
Thickness explains over 80% of the process variance in heat flux.
Answers
E.
The number of Residuals in this Regression Analysis is 26.
E.
The number of Residuals in this Regression Analysis is 26.
Answers
Suggested answer: A, D
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