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Measure Phase and Statistics Flashcards

7 cards from real Lean Six Sigma Green Belt Certification practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Measure Phase and Statistics flashcards as text
  1. A normal distribution has 99.73% of data within how many standard deviations of the mean?

    Answer: 3

    The empirical rule states that 99.73% of data falls within ±3 standard deviations of the mean in a normal distribution.

  2. What does the acronym DPMO stand for in Six Sigma?

    Answer: Defects Per Million Opportunities

    DPMO stands for Defects Per Million Opportunities and is the standard metric used to calculate sigma level.

  3. In a Gage R&R study expressed as %Study Variation, what threshold is typically considered acceptable for measurement systems?

    Answer: Less than 10%

    A %Study Variation below 10% indicates an acceptable measurement system; 10-30% may be acceptable depending on context.

  4. Which distribution is most appropriate for modeling the number of defects per unit when defects are rare and independent?

    Answer: Poisson distribution

    The Poisson distribution models the number of rare, independent events occurring in a fixed interval of time or space.

  5. What is the difference between accuracy and precision in measurement systems?

    Answer: Accuracy is closeness to true value; precision is consistency of repeated measurements

    Accuracy refers to how close a measurement is to the true value (low bias), while precision refers to how consistently measurements repeat.

  6. A process with Cp = 1.5 but Cpk = 0.8 indicates:

    Answer: The process has adequate spread but is significantly off-center

    Cp measures potential capability based on spread alone; when Cpk is much lower, the process is not centered between specification limits.

  7. Which continuous probability distribution is symmetric, bell-shaped, and fully described by its mean and variance?

    Answer: Normal

    The normal (Gaussian) distribution is symmetric and bell-shaped, completely defined by its mean (μ) and variance (σ²).