The Analyze Phase Flashcards
7 cards from real Lean Six Sigma Yellow 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 The Analyze Phase flashcards as text
Which tool is used to visually display the frequency distribution of a continuous variable during the Analyze phase?
Answer: Histogram
A histogram displays the frequency distribution of continuous data, helping identify patterns such as skewness or bimodality.
A team discovers that 80% of defects come from 20% of the causes. Which principle does this represent?
Answer: Pareto Principle
The Pareto Principle (80/20 rule) states that roughly 80% of effects come from 20% of causes, helping teams prioritize root causes.
What does a scatter diagram primarily help a team determine during the Analyze phase?
Answer: The relationship between two variables
A scatter diagram plots two variables against each other to identify whether a correlation (positive, negative, or none) exists between them.
In hypothesis testing, what does a p-value less than 0.05 typically indicate?
Answer: Reject the null hypothesis
A p-value below the significance level (commonly 0.05) indicates sufficient evidence to reject the null hypothesis.
Which type of data analysis tool would best help identify whether a machine or operator is the dominant source of variation?
Answer: Stratification analysis
Stratification separates data by source (e.g., machine, shift, operator) to determine which factor contributes most to variation.
A process has a Cp of 1.5 but a Cpk of 0.8. What does this indicate?
Answer: The process has sufficient spread but is off-center
Cp measures potential capability (spread only) while Cpk accounts for centering; a high Cp with low Cpk means the process is capable but not centered on target.
Which of the following best describes a 'vital few' in the context of the Analyze phase?
Answer: The small number of root causes responsible for most defects
The 'vital few' refers to the small set of root causes (from Pareto analysis) that drive the majority of quality problems.