Certified Six Sigma Black Belt MCQ Flashcards
7 cards from real Certified Six Sigma Black Belt Exam practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Certified Six Sigma Black Belt MCQ flashcards as text
What does a Weibull shape parameter (β) less than 1 indicate about a product's failure pattern?
Answer: Infant mortality — decreasing failure rate over time
β < 1 in the Weibull distribution indicates decreasing failure rate, characteristic of early-life or infant mortality failures.
Which mistake-proofing (poka-yoke) method prevents an error from being passed to the next operation?
Answer: Control method
The control method physically prevents the defect from moving forward, while warning methods only alert the operator.
In ANOVA, the F-statistic is calculated as:
Answer: Between-group variance / Within-group variance
The F-statistic is the ratio of between-group (treatment) mean square to within-group (error) mean square.
When calculating process sigma level, a 1.5 sigma shift is typically applied because:
Answer: Long-term processes drift up to 1.5σ from their short-term mean
Motorola's empirical finding is that processes shift up to ±1.5σ over time due to factors like tool wear and material variation.
A Black Belt is conducting a DOE and wants to estimate the effect of a two-factor interaction. What is the minimum number of runs required?
Answer: 4
A 2^2 full factorial (4 runs) is the minimum to estimate main effects and a two-factor interaction with two factors.
Which quality cost category includes the cost of scrap, rework, and warranty repairs?
Answer: Internal failure costs (for scrap/rework) and external failure costs (for warranty)
Scrap and rework are internal failure costs (before delivery); warranty repairs are external failure costs (after delivery).
In a transfer function Y = f(X), what does the Black Belt's role in Six Sigma primarily focus on?
Answer: Identifying and controlling the critical Xs that drive Y
Six Sigma's core principle is that outputs (Y) are determined by inputs/process variables (X), so improvement comes from managing the Xs.