A black belt needs to determine if a process is stable. What technique should be used?
A. Capability Chart
B. Pareto Chart
C. Control Chart
D. Histogram
A Black Belt is reviewing a stable, normal process that has a Cp = 3 and a Cpk = 1. In order to achieve a 6 sigma process, what must be done?
A. Reduce variation only
B. Shift the mean only
C. Reduce variation and shift the mean
D. Not enough information given
A Black Belt is working a project on battery life. The Black Belt finds that the process is unstable, but wants to do a capability analysis. The Black Belt should:
A. Continue on with the capability analysis to gain more insight
B. Work to identify the special causes before continuing on with the capability analysis
C. Transform the data
D. Find and remove the data points (outliers) that caused it to appear unstable. If the process is capable without the outliers, the outliers can simply be discarded.
A person owns the following process with a process target of 200. The Cp of the process is 2.0. Mean of the process is 200. What is the Cpk?
A. Cpk=2.0
B. Cpk=1
C. Cpk=1.5
D. Cpk=2.5
A black belt is reviewing a process, as shown below. The specification limits are 1200 +1— 200. Is the process stable?
A. Yes, all the data meets specification.
B. No, there is data that exceeds the specification limits.
C. No, the data is not on target.
D. Can't tell from this graph.
What action should be taken if the residuals from a regression model show a pattern over time?
A. It is acceptable to use the results as they exist
B. Transform the input variable
C. Transform the output variable
D. Track down the assignable cause of the time trend I pattern
Your team has done a SOV study and produced the following Multi-Van chart. What is the largest source of variation?
A. Time to Time
B. Within Unit
C. Unit to Unit
D. None of the above
While checking regression model assumptions, an engineer generates the following normal probability plot of residuals. Which of the actions below is the most appropriate next step?
A. Transform the response and re-fit the model
B. Investigate run order for a time pattern
C. Add runs, collect additional data and re-fit the model
D. Remove the highest order term from the model
Which of the following statements is true regarding correlation and simple regression?
A. A positive correlation is more significant than a negative correlation
B. R2 = the amount of variance explained by the regression model
C. A statistically significant correlation confirms a causal relationship between the X and Y variables
D. They are the best statistical methods when you have discrete X and Y variables
In Logistic Regression, an Odds Ratio of 1 means?
A. One group is more likely than the other
B. Both groups are very likely
C. No association between groups - they are equally likely D. There is a significant relationship between groups
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