GAQM-GAQM.Testking.CLSSGB.v2017-08-16.by.Greg.105q Set 1

The lower Control Limit for the R chart is equal to zero ✘ Attempt to use SPC for tracking transaction times at a warehouse ✘ A process is in Statistical Control before implementation of SPC ✘ The Control Limits are wider than the customer specification limits ✔

Individual ✘ Xbar-R Charts ✘ Xbar-S Charts ✘ nP and P Charts ✔

Moving Average Chart ✘ Multi-Vari Chart ✘ X bar Chart ✘ Pareto Chart ✔

Never, a Control Plan is a living document ✘ As soon as the Champion signs off ✘ Within 30 days of the LSS project review team meeting ✘ After the project has been presented at the recognition event ✔

Non-linear relationships between the inputs X's and output Y Uncertainty in the slope of the linear relationship between an X and a Y Relationships between Y (output) and more than one X (Input) Preventing the use of a Designed Experiment if unnecessary We assume that the X's are independent of each other

Much is known ✘ Little is known ✘ We don't care ✘ Data exists ✔

Only a Few Are Tested ✘ Opposite Factors Affect Technique ✘ One Factor At a Time ✘ Ordinary Fractional Approach Technique ✔

This Regression is an example of a Multiple Linear Regression. This Regression is an example of Cubic Regression. %Cu explains the majority of the process variance in heat flux. Thickness explains over 80% of the process variance in heat flux. The number of Residuals in this Regression Analysis is 26.

True ✘ False ✘

The process is properly assumed to be a Normal process ✘ The Mean of the process moving range is 1.78 ✘ The process is out of Control ✘ This Capability Analysis used subgroups ✔ Majority of the dimensional values are outside of the tolerance than within ✔