Lean Six Sigma Black Belt Certification Lean Six Sigma Black Belt Measure Phase: Data Analysis Questions and Answers 2

Question 1

A Black Belt collects cycle time data and finds the Anderson-Darling p-value is 0.03. What should be concluded about the data distribution?

Accepted Answer

The data does not follow a normal distribution

Answer

A p-value below 0.05 in the Anderson-Darling test leads to rejection of the null hypothesis that the data is normally distributed.

Question 2

Which graphical tool is most appropriate for identifying whether a process has shifted over time during the Measure phase?

Accepted Answer

Run chart

Answer

A run chart plots data points in time order, making process shifts, trends, and patterns visible over time.

Question 3

During a Gage R&R study, the total measurement system variation accounts for 35% of the total observed variation. What action should the Black Belt take?

Accepted Answer

Improve the measurement system before proceeding with analysis

Answer

A measurement system contributing more than 30% of total variation is unacceptable and must be improved before reliable data analysis can proceed.

Question 4

A Black Belt is analyzing defect data across five product lines. Which measure of central tendency is most appropriate for highly skewed count data?

Accepted Answer

Median

Answer

The median is resistant to extreme values and provides a better representation of central tendency for highly skewed data distributions.

Question 5

What is the primary purpose of calculating the Cp index during the Measure phase?

Accepted Answer

To assess the potential capability of a process assuming it is centered

Answer

Cp measures potential process capability by comparing the specification spread to the process spread, assuming the process is centered.

Lean Six Sigma Black Belt Certification Practice Test

Lean Six Sigma Black Belt Certification Practice Test

Lean Six Sigma Black Belt Certification Lean Six Sigma Black Belt Measure Phase: Data Analysis Questions and Answers 2