Free Certified Six Sigma Black Belt Practice 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 — missed cards come back until you master them.
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A Black Belt needs to reduce a large set of correlated variables into fewer independent components for analysis. Which technique is most appropriate?
Answer: Principal Component Analysis (PCA)
PCA transforms correlated variables into a smaller set of uncorrelated principal components that capture most of the original variance.
When using a control chart, what does a run of 7 consecutive points above the center line indicate?
Answer: A special cause of variation is likely present
Seven or more consecutive points on one side of the center line is a run rule violation that signals a likely shift in the process mean, indicating special cause variation.
A Black Belt is selecting a sampling strategy for a process that produces output in discrete batches. Which sampling method best captures within-batch and between-batch variation?
Answer: Stratified sampling with batches as strata
Stratified sampling using batches as strata ensures representation from each batch, allowing the Black Belt to estimate both within-batch and between-batch variation components.
What distinguishes a Type I error from a Type II error in hypothesis testing?
Answer: Type I is rejecting a true null hypothesis; Type II is failing to reject a false null hypothesis
A Type I error (alpha) means concluding there is an effect when none exists, while a Type II error (beta) means missing a real effect that is actually present.
In Design for Six Sigma (DFSS), what is the primary purpose of Quality Function Deployment (QFD)?
Answer: To translate customer requirements into specific technical design parameters
QFD uses the House of Quality matrix to systematically convert voice of the customer needs into prioritized engineering specifications and design targets.
A Black Belt calculates a process capability index Cpk of 1.0. What does this indicate about the process?
Answer: The process is barely capable, producing approximately 2,700 defects per million opportunities on the nearest specification limit
A Cpk of 1.0 means the nearest specification limit is exactly 3 standard deviations from the process mean, corresponding to roughly 2,700 DPMO on that side.