Certified Six Sigma Black Belt Exam Free Certified Six Sigma Black Belt Practice Questions and Answers 2 — Questions and Answers
Question 1: A Black Belt discovers that a critical process metric follows a non-normal distribution. Which tool is most appropriate for determining process capability?
- Box-Cox transformation followed by normal capability analysis
- Johnson transformation
- Non-normal capability analysis using Weibull or other fitted distribution (Correct answer)
- Ignoring non-normality and using standard Cp/Cpk calculations
Correct answer: Non-normal capability analysis using Weibull or other fitted distribution
When data is non-normal, fitting an appropriate distribution such as Weibull allows accurate capability analysis without forcing normality assumptions.
Question 2: During the Analyze phase, a team identifies multiple potential root causes. Which technique best helps prioritize these causes based on both probability and impact?
- Pareto chart
- Failure Mode and Effects Analysis (FMEA) (Correct answer)
- Fishbone diagram
- 5 Whys analysis
Correct answer: Failure Mode and Effects Analysis (FMEA)
FMEA systematically evaluates each potential failure mode by severity, occurrence, and detection to produce a Risk Priority Number for prioritization.
Question 3: What is the primary purpose of a Gage R&R study in a Six Sigma project?
- To calibrate measurement instruments to national standards
- To assess the variation contributed by the measurement system relative to total process variation (Correct answer)
- To determine the accuracy of a single measurement device
- To validate that operators are following standard work procedures
Correct answer: To assess the variation contributed by the measurement system relative to total process variation
Gage R&R quantifies how much of the observed process variation is attributable to the measurement system, including both repeatability and reproducibility components.
Question 4: A Black Belt is designing an experiment with 5 factors, each at 2 levels, but resources allow only 8 runs. Which design is most appropriate?
- Full factorial design
- 2^(5-2) fractional factorial design (Correct answer)
- Central composite design
- Plackett-Burman design with 12 runs
Correct answer: 2^(5-2) fractional factorial design
A 2^(5-2) fractional factorial design reduces the full 32-run experiment to 8 runs while still estimating main effects, though some interactions will be confounded.
Question 5: In a hypothesis test comparing two population means, a Black Belt obtains a p-value of 0.03 with alpha set at 0.05. The practical significance is negligible. What should the Black Belt conclude?
- Reject the null hypothesis and implement changes immediately
- Fail to reject the null hypothesis since practical significance is absent
- Report statistical significance but recommend no action due to lack of practical significance (Correct answer)
- Increase the sample size to confirm the result
Correct answer: Report statistical significance but recommend no action due to lack of practical significance
Statistical significance alone does not justify action; a Black Belt must also evaluate whether the difference is large enough to matter practically before recommending changes.
Question 6: Which of the following best describes the purpose of a control plan in the Control phase?
- To document the statistical tests used during the Analyze phase
- To provide a living document that specifies monitoring methods, reaction plans, and responsibilities for sustaining improvements (Correct answer)
- To create a project charter for the next DMAIC cycle
- To train all employees on Six Sigma methodology
Correct answer: To provide a living document that specifies monitoring methods, reaction plans, and responsibilities for sustaining improvements
A control plan documents what to monitor, how to monitor it, acceptable limits, and what actions to take when the process goes out of control to sustain gains.
A Black Belt discovers that a critical process metric follows a non-normal distribution.
Which tool is most appropriate for determining process capability?