Analyze Phase Tools 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 Analyze Phase Tools flashcards as text
A Green Belt notices that defects spike every Monday morning on the assembly line. Which Analyze phase tool best captures this time-based pattern?
Answer: Control chart
Control charts plot data over time and reveal periodic patterns such as day-of-week effects.
Which statistical test should a Green Belt use to determine whether the mean output of Machine A is significantly different from Machine B?
Answer: Two-sample t-test
A two-sample t-test compares the means of two independent groups to determine statistical significance.
In a regression model for predicting cycle time, the R-squared value is 0.82. What does this indicate?
Answer: 82% of the variation in cycle time is explained by the predictors
R-squared represents the proportion of variance in the response variable explained by the predictor variables.
A team uses a fault tree analysis (FTA) during the Analyze phase. What is the primary purpose of FTA?
Answer: To map the logical chain of causes leading to a top-level failure event
Fault tree analysis uses Boolean logic to trace how combinations of lower-level events can cause a top-level failure.
When would a Green Belt prefer a non-parametric test over a parametric test during data analysis?
Answer: When data is non-normal or the sample size is very small
Non-parametric tests make no distribution assumptions, making them appropriate for non-normal data or very small samples.
A Green Belt creates a scatter plot of oven temperature vs. product hardness and observes points forming a curved (parabolic) pattern. What should be concluded?
Answer: The relationship is non-linear and may require a polynomial or transformation
A curved pattern in a scatter plot signals a non-linear relationship, suggesting the need for polynomial regression or a data transformation.
In a multi-vari study, which type of variation describes differences that occur across positions within the same unit (e.g., left vs. right side of a part)?
Answer: Positional variation
Positional (within-unit) variation captures differences at different locations within a single piece or unit.