Assessment 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 Assessment flashcards as text
A team is performing a process assessment and needs to quantify financial impact. Which metric best represents the cost of poor quality (COPQ)?
Answer: Costs from appraisal, prevention, internal failure, and external failure
COPQ encompasses all four quality cost categories: prevention costs, appraisal costs, internal failure costs, and external failure costs.
When assessing process capability for attribute data, which index is appropriate?
Answer: DPU and DPMO
For attribute data (pass/fail, defect counts), DPU (Defects Per Unit) and DPMO (Defects Per Million Opportunities) are the appropriate capability metrics.
A Green Belt assesses the output of a brainstorming session. Which tool would best help the team organize a large number of ideas into logical groupings?
Answer: Affinity diagram
An affinity diagram organizes large volumes of qualitative ideas or data into natural groupings based on their relationships, making it ideal for processing brainstorming output.
During a current-state value stream map assessment, takt time is calculated to be 45 seconds. The cycle time of the bottleneck operation is 60 seconds. What does this assessment reveal?
Answer: The process cannot meet customer demand at the bottleneck
When cycle time exceeds takt time at any operation, that operation is the bottleneck and the process cannot meet customer demand without improvement.
A Green Belt conducts a process walk to assess actual versus documented procedures. This type of assessment is known as a:
Answer: Gemba walk
A Gemba walk involves going to the actual workplace to observe processes firsthand, comparing what actually happens with what is documented or expected.
In assessing root causes, a team builds a cause-and-effect matrix. What input data does this tool primarily use?
Answer: Customer requirements and process input variables
The cause-and-effect (C&E) matrix correlates process input variables (Xs) against key customer output requirements (Ys) to prioritize which inputs most impact quality.
A Green Belt is assessing sample size requirements for a capability study. The team wants 95% confidence with ±5% precision. Increasing the confidence level to 99% while keeping precision constant will:
Answer: Increase the required sample size
Higher confidence levels require larger sample sizes to maintain the same precision, as more certainty about the true population parameter demands more data.