Lean Six Sigma Green Belt Certification Lean Six Sigma Green Belt DMAIC: Analyze Phase Techniques 1

Question 1

Which statistical technique is used in the Analyze phase to determine how much of the total variation in a process is attributable to measurement system error?

Accepted Answer

Gauge R&R study

Answer

Gauge Repeatability and Reproducibility (Gauge R&R) quantifies measurement system variation by separating it from actual process variation, ensuring that observed defects reflect true process issues rather than measurement error.

Question 2

In the Analyze phase, a process capability index (Cpk) of 0.85 indicates that the process is:

Accepted Answer

Not capable, as it falls below the minimum acceptable threshold of 1.0

Answer

A Cpk below 1.0 means the process cannot consistently produce output within specification limits. The industry standard minimum for a capable process is Cpk ≥ 1.0, with 1.33 or higher considered fully capable.

Question 3

What is the primary purpose of a multi-vari chart in the Analyze phase?

Accepted Answer

To visually identify and compare sources of variation such as positional, cyclical, and temporal

Answer

A multi-vari chart displays variation from multiple sources simultaneously, allowing teams to identify which family of variation (positional, cyclical, or temporal) is the dominant contributor to process inconsistency.

Question 4

During an Analyze phase regression study, an R² value of 0.92 means that:

Accepted Answer

92% of the variation in the output variable is explained by the input variable(s) in the model

Answer

R² (coefficient of determination) represents the proportion of variance in the dependent variable that is predictable from the independent variable(s). An R² of 0.92 indicates a strong model fit.

Question 5

Which of the following best describes the concept of 'stratification' as used in the Analyze phase?

Accepted Answer

Separating data into distinct groups or categories to identify patterns or differences between subgroups

Answer

Stratification involves breaking data into subgroups (e.g., by shift, machine, operator, or material lot) to reveal hidden patterns or differences that are masked when all data is combined, helping isolate root causes.

Lean Six Sigma Green Belt Certification Practice Test

Lean Six Sigma Green Belt Certification Practice Test

Lean Six Sigma Green Belt Certification Lean Six Sigma Green Belt DMAIC: Analyze Phase Techniques 1