One of the foundations of Lean Six Sigma is the concept that the output of a process (Y) is influenced by the process inputs (X's) and is commonly shown as which formula?
A. Y = Z(X2)
B. Y = f(X3)
C. Y = f(Xn)
D. Y = g(X+ 1.5)
The Greek letter "sigma" is used by mathematicians to signify _____________.
A. Curve Width
B. Numerical Average
C. Standard Deviation
D. Data Spread
Much of the Six Sigma methodology is used to identify and remove causes for _____________ .
A. Process Variation
B. Material Costs
C. Excess Inventory
D. Lost Sales
Which statements are correct about the advanced Capability Analysis shown here? (Note: There are 3 correct answers).
A. This is a Poisson Capability Analysis
B. The average DPU with 95% confidence is between 0.024 and 0.0295
C. The DPU does not seem to vary depending on sample size
D. The process shows only one instance of being out of control statistically so we have confidence in the estimated DPU of this process
E. The maximum DPU in one observation was nearly 0.0753
When we compare short-term and long-term Capability which of these is true?
A. Cp is better for the short term
B. Both short-term and long-term performance are alike
C. Performance tends to improve over time
D. Cp is better for the long-term
What is the Ppk of a process with a spread of 24 units, an average of 68, an upper limit of 82 and a lower limit of 54?
A. 1.68
B. 2.00
C. 4.00
D. 4.42
The reported Cpk for a process with an average of 98 units, a spread of 16 units and upper and lower specification limits of 115 and 90 units would be?
A. 0.5
B. 0.75
C. 1.00
D. 1.25
For Attribute Data, Process Capability is defined as the average proportion of nonconforming products.
A. True
B. False
Which item(s) listed would impact the Process Capability for a process with a continuous output? (Note: There are 4 correct answers).
A. Shape of process data distribution (e.g. Normal Distribution)
B. Process Technology
C. Process Standard Deviation
D. Presence of Special Causes or solely Common Causes
E. Seasonal variation in process
With Measurement System Analysis we are concerned with two issues that impact the potential variability of the data. They are _____________________.
A. Precision and Accuracy
B. Reliability and Repeatability
C. Error and Spread
D. Sensitivity and Deflection
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