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FREE Certified Six Sigma Black Belt 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.

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  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 determine whether there are statistically significant differences between the means of three or more independent groups.

  2. In a Six Sigma DMAIC project, what is the primary purpose of the Control phase?

    Answer: Establish monitoring systems to sustain improvements

    The Control phase focuses on implementing control plans and monitoring systems to ensure that improvements are maintained over time.

  3. A process has a Cp of 1.5 and a Cpk of 0.8. What does this indicate?

    Answer: The process is capable but not centered within specification limits

    A Cp of 1.5 shows adequate spread relative to specifications, but the lower Cpk of 0.8 indicates the process mean has shifted away from center.

  4. What is the primary risk of using a high alpha level (e.g., 0.10) in hypothesis testing during a Six Sigma project?

    Answer: Increased probability of a Type I error

    A higher alpha level increases the probability of rejecting the null hypothesis when it is actually true, which is a Type I error.

  5. Which tool is used to prioritize potential failure modes based on severity, occurrence, and detection ratings?

    Answer: Failure Mode and Effects Analysis

    FMEA systematically evaluates potential failures by assigning severity, occurrence, and detection scores to calculate a Risk Priority Number.

  6. In Design of Experiments, what is the main advantage of a fractional factorial design over a full factorial design?

    Answer: It requires fewer experimental runs while still estimating main effects

    Fractional factorial designs reduce the number of runs needed by strategically confounding higher-order interactions that are often negligible.