โ† All Certified Six Sigma Black Belt Exam Flashcard Decks

Free Certified Six Sigma Black Belt MCQ Questions and Answers Flashcards

6 cards from real Certified Six Sigma Black Belt Exam practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 6 Free Certified Six Sigma Black Belt MCQ Questions and Answers flashcards as text
  1. Which statistical test is most appropriate for comparing the means of three or more groups in a Six Sigma project?

    Answer: One-way ANOVA

    One-way ANOVA is used to compare means across three or more independent groups to determine if at least one differs significantly.

  2. In a cause-and-effect matrix, what does the correlation score represent?

    Answer: The strength of the relationship between process inputs and key outputs

    The correlation score in a C&E matrix quantifies how strongly each process input affects each prioritized output.

  3. What is the primary purpose of a Measurement System Analysis (MSA)?

    Answer: To quantify the amount of variation contributed by the measurement system

    MSA determines how much of the observed process variation is attributable to the measurement system itself rather than the actual process.

  4. A Black Belt discovers that residuals in a regression model show a funnel-shaped pattern when plotted against fitted values. What assumption is violated?

    Answer: Constant variance (homoscedasticity)

    A funnel-shaped residual pattern indicates heteroscedasticity, meaning the variance of residuals changes across the range of fitted values.

  5. Which Lean tool uses a visual board with columns representing workflow stages to limit work-in-progress?

    Answer: Kanban

    Kanban boards visualize workflow stages and enforce WIP limits to improve flow and reduce lead time.

  6. What does a Cpk value of 1.33 indicate about a process?

    Answer: The process is capable with an acceptable safety margin against specification limits

    A Cpk of 1.33 means the nearest specification limit is four standard deviations from the process mean, indicating good capability with adequate margin.