Question: If interaction plots are parallel, there is no significant interaction. True False The four-in-one residual plots help you evaluate the validity of the model; the
- If interaction plots are parallel, there is no significant interaction.
- True
- False
- The four-in-one residual plots help you evaluate the validity of the model; the residuals should be independent and normally distributed.
- True
- False
- In the ANOVA table in a DOE. the sum-of-squares and F statistics provide a good measure of the effects of factors and interactions.
- True
- False
- To test for curvature, include center points when creating the factorial design.
- 2k factorial
- Ultra HD
- 3G
- 5G
- Factorial designs can model quadratic or second-order Y=f(x) relationships.
- True
- False
- If curvature is significant, the model is a quadratic or second-order equation.
- True
- False
- All of the following are true for a CCD or Central Composite Design EXCEPT .
- quadratic terms are determined by axial points
- main effects and interactions are determined by cube points (or comparable to corner points of a 2k experiment)
- CCDs are screening experiments
- curvature is determined by center points
- Curved contours and curved surface plots are expected in .
- Fractional factorial designs
- One-factor-at-a-time experiments
- RSM
- Full factorial designs
- Central Composite Design (CCD) is a very popular class of second-order designs.
- True
- False
- If there is significant curvature, what should you use?
- fractional factorial designs
- 2k factorial designs
- full factorial designs
- response surface designs
- What is the main purpose of the Control phase?
- brainstorm on ways to continually improve the process
- implement statistical process control (SPC) charts
- control the key Xs and monitor the Y to ensure the improved performance is sustainable
- start involving process owners and other stakeholders
- The following are steps in the Control phase EXCEPT .
- once the improved Y is sustained, have Finance validate the actual financial impact
- develop a Control Plan for monitoring, controlling and regulating performance
- generate, evaluate and select solution alternatives to control Y
- implement SPC charts to support the Control Plan
- The following tools and techniques are applicable in the Control phase, EXCEPT .
- FMEA
- Control Plan
- Process capability charts
- SPC charts
- Which SPC chart should be used to monitor the number of defects in cars produced?
- np chart
- c chart
- p chart
- X-bar chart
- Which SPC chart should be used to monitor the number of defective smartphones?
- u chart
- c chart
- np chart
- p chart
- Which SPC chart should be used to monitor a key dimension (such as length) of parts that are mass produced?
- X-bar R chart
- I chart
- p chart
- u chart
- Which SPC chart should be used to monitor the % defect rate?
- c chart
- p chart
- I-MR chart
- X-bar chart
- Out-of-control (OOC) points indicate the presence of special causes.
- True
- False
- Suppose that the process is in-control but isn't capable of meeting specifications due to excessive common-cause variation. What is the best course of action?
- Create an ANOVA table.
- Launch a Central Composite Design.
- Launch a Six Sigma DMAIC project.
- Create an SPC chart.
- Control limits should be re-calculated whenever the process has undergone a major change such as a DMAIC project, new equipment or new technology.
- True
- False
- Process capability and sigma level of the improved process should be determined in the Control phase, and a comparison should be made with the baseline performance from the Measure phase.
- True
- False
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