Lean Six Sigma Green Belt Certification Assessment 2 — Questions and Answers
Question 1: A Green Belt is assessing process stability using a control chart. Which pattern indicates a process that is out of statistical control?
- All points within control limits with random variation
- Eight consecutive points on the same side of the centerline (Correct answer)
- Points evenly distributed above and below the centerline
- Natural variation following a bell curve pattern
Correct answer: Eight consecutive points on the same side of the centerline
Eight consecutive points on the same side of the centerline is a Western Electric rule indicating a non-random shift, signaling the process is out of statistical control.
Question 2: During a Lean Six Sigma assessment, a team calculates process sigma level. A process with a DPMO of 6,210 corresponds to which sigma level?
- 3 sigma
- 4 sigma (Correct answer)
- 5 sigma
- 6 sigma
Correct answer: 4 sigma
A DPMO of 6,210 corresponds to a 4 sigma process, which is the standard benchmark many organizations aim to achieve.
Question 3: A Green Belt is assessing whether a measurement system is adequate. The Gauge R&R study shows total Gauge R&R is 35% of study variation. What is the appropriate conclusion?
- The measurement system is acceptable for production use
- The measurement system may be acceptable depending on application
- The measurement system is unacceptable and must be improved (Correct answer)
- The measurement system is excellent and needs no review
Correct answer: The measurement system is unacceptable and must be improved
A Gauge R&R greater than 30% of study variation indicates the measurement system is unacceptable and requires improvement before use.
Question 4: When assessing the voice of the customer (VOC), which tool is most effective for translating customer needs into measurable technical requirements?
- Fishbone diagram
- Quality Function Deployment (QFD) (Correct answer)
- Value stream map
- Failure Mode and Effects Analysis (FMEA)
Correct answer: Quality Function Deployment (QFD)
QFD, also called the House of Quality, systematically translates customer requirements (VOC) into specific engineering and technical specifications.
Question 5: A Green Belt assesses a process and finds Cp = 1.5 but Cpk = 0.8. What does this indicate?
- The process spread is adequate but the process is not centered (Correct answer)
- The process is centered and has adequate spread
- Both process spread and centering are inadequate
- The process spread is inadequate but it is well centered
Correct answer: The process spread is adequate but the process is not centered
Cp measures potential capability (spread only) while Cpk measures actual capability (including centering); Cp > Cpk indicates the process has adequate spread but is off-center.
Question 6: During the Measure phase assessment, a Green Belt determines that data is not normally distributed. Which approach is most appropriate for capability analysis?
- Proceed with normal capability analysis and ignore the non-normality
- Transform the data or use non-parametric capability indices (Correct answer)
- Collect more data until it appears normally distributed
- Skip capability analysis and move directly to Analyze phase
Correct answer: Transform the data or use non-parametric capability indices
Non-normal data requires either a mathematical transformation (such as Box-Cox) or the use of non-parametric capability methods for accurate assessment.
Question 7: A Green Belt is assessing waste in a process. Which type of waste is occurring when a highly skilled engineer spends time on data entry tasks?
- Overproduction
- Waiting
- Non-utilized talent (Correct answer)
- Defects
Correct answer: Non-utilized talent
Non-utilized talent (sometimes called Skills waste) occurs when employees are assigned to tasks below their skill level, preventing the organization from benefiting from their full capabilities.
Lean Six Sigma Green Belt Certification Assessment 2
A Green Belt is assessing process stability using a control chart.
Which pattern indicates a process that is out of statistical control?