FREE Basic Lean Six Sigma Black Belt Certification Questions and Answers Flashcards
6 cards from real Lean Six Sigma Black Belt Certification practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
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What is the primary purpose of a SIPOC diagram in the Define phase of a DMAIC project?
Answer: To provide a high-level overview of the process including suppliers, inputs, process steps, outputs, and customers
A SIPOC diagram maps Suppliers, Inputs, Process, Outputs, and Customers to give stakeholders a high-level understanding of the process scope.
In hypothesis testing, what does a Type II error represent?
Answer: Failing to reject a false null hypothesis
A Type II error (beta error) occurs when the test fails to detect a real difference, meaning a false null hypothesis is not rejected.
Which tool is most appropriate for identifying the vital few causes from the trivial many in a Six Sigma project?
Answer: Pareto chart
A Pareto chart applies the 80/20 principle to visually separate the vital few causes that account for most of the variation from the trivial many.
What does Cp measure in process capability analysis?
Answer: The potential capability of a process when centered between specification limits
Cp measures potential process capability by comparing the specification width to the process spread, assuming the process is perfectly centered.
During the Analyze phase, a Black Belt discovers strong multicollinearity among predictor variables in a regression model. What is the most appropriate action?
Answer: Remove one or more correlated predictors or use principal component analysis
Multicollinearity inflates coefficient variance and makes individual predictor effects unreliable, so removing redundant predictors or using dimensionality reduction is the standard remedy.
What is the key difference between a cause-and-effect matrix and a Failure Mode and Effects Analysis (FMEA)?
Answer: A cause-and-effect matrix prioritizes inputs against outputs while FMEA evaluates risk using severity, occurrence, and detection ratings
The cause-and-effect matrix ranks process inputs by their impact on key outputs, while FMEA assigns severity, occurrence, and detection scores to calculate a Risk Priority Number.