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 Six Sigma Green Belt 
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Q:1-A company generates 22,700 Defects Per Million Opportunities. What is the Sigma level performance of the company?
Mark one answer:

4.0
3.7
1.2
2.8
3.5



Q:2-A Lean Six Sigma team at an insurance company has been working on a project to reduce the number of claim defects leading to denied claims. A control chart of claim denials is out-of-control. What conclusion should the team draw from this condition?
Mark one answer:

The number of denials has gone up.
The number of denials has gone down.
The process is unstable over time.
The process is exhibiting less variability over time.
The process is exhibiting more variability over time.


Q:3-A Lean Six Sigma team is working to reduce the frequency of medical errors, and wishes to track the number of errors per patient per day. The sample size of patients varies from day to day. Which type of attribute control chart should the team use?
Mark one answer:

c Chart
p Chart
np Chart
u Chart
cp Chart


Q:4-A diagnostic lab has chartered a Lean Six Sigma team to reduce the frequency of samples with label problems. The team has data available on the percentage of samples with a label problem and wishes to chart this measure. Volume is high and stable enough to assume a constant sample size. Which type of attribute control chart should the team use?
Mark one answer:

c Chart
p Chart
np Chart
u Chart
cp Chart


Q:5-After implementing process improvement actions, new data placed on the SPC chart of the old process shows consistent variability about the mean on the X-bar chart, but the R chart shows eight points below the R-bar line. What is happening?
Mark one answer:

The improvement actions were successful in shifting the process mean.
The R-bar chart is now in control.
The process is exhibiting less variability between observations (part to part).
The R-bar chart is out-of-control, indicating that the improvement action was not effective.


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Q:6-A Six Sigma team within the Finance Department is working on a project to reduce the number of journal entry errors, which are delaying the monthly closing process. The team has gathered data over time, and wishes to track the percentage of erroneous entries using a p chart. If p-bar is 0.036, and n = 2,000, what is the Upper Control Limit for the chart?
Mark one answer:

0.036
0.072
0.144
0.048
0.108


Q:7-A Lean Six Sigma team working to reduce the amount of bad debts is tracking the dollar amount of receivables over 90 days past due. The team is using an Individuals and Moving Range control chart (XmR or ImR chart). The average balance outstanding (X-bar) is $736,500. The Mean Moving Range is $58,000. What is the upper control limit for the Individuals (X) chart?
Mark one answer:

$926,160
$918,620
$910,500
$890,780
$818,620


Q:8-An order processing operation has a specification of 4.0 hours + or - 1.0 hours. The process mean is 4.2 hours, with a standard deviation of 0.25 hours. The process is stable and normally distributed. What is the Cp and Cpk of the process?
Mark one answer:

2.67, 1.33
1.07, 1.33
2.67, 1.07
1.33, 1.07


Q:9-A Six Sigma team wishes to calculate Cpk in order to assess the capability of an order entry process. The team has determined that the process data are not normally distributed (the distribution is skewed after all confirmed outliers have been removed). What should the team do?
Mark one answer:

Use Cp instead of Cpk.
Remove the data points that are causing the skewness as they may be outliers.
Adjust the Cpk calculation by 1.5 standard deviations.
Transform the data to more closely fit a normal distribution.
Eliminate the underlying source of variability before calculating Cpk.


Q:10-An SPC chart of a process under study has several recent plot points outside of the lower control limit. The team has taken actions to move the process in this direction, so the out-of-control condition is a favorable shift. The Six Sigma team wants to calculate the Cpk in order to assess process capability. What should the team do?
Mark one answer:

Calculate the Cpk using data prior to the out-of-control condition.
Calculate the Cpk using all data since the out-of-control condition may be favorable.
Collect 20 additional data points to confirm the process shift, confirm stability, then calculate Cpk from data collected after the shift.
Calculate Cp instead of Cpk
Calculate Ppk instead of Cpk.


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