Lean Six Sigma Black Belt Certification Prep 1

Question 1

In Measurement System Analysis (MSA), a %GR&R value greater than 30% indicates what about the measurement system?

Accepted Answer

The system is unacceptable and must be improved before use

Answer

The system is fully acceptable for production use

Answer

The system is marginally acceptable depending on application

Answer

The system has insufficient discrimination between parts

Question 2

Which control chart should be used to monitor the number of defects per unit when subgroup sizes vary from sample to sample?

Accepted Answer

u-chart

Answer

c-chart

Answer

np-chart

Answer

p-chart

Question 3

A full factorial Design of Experiment (DOE) with 4 factors each set at 2 levels requires how many experimental runs without replication?

Accepted Answer

16

Answer

8

Answer

12

Answer

32

Question 4

A process yields Cp = 1.60 and Cpk = 0.75. What is the most accurate interpretation?

Accepted Answer

The process spread is sufficient but the mean is significantly shifted off-center

Answer

The process is capable and well-centered within specification limits

Answer

Both indices confirm the process is incapable due to excessive variation

Answer

Cpk exceeding 1.33 confirms the process meets the Six Sigma standard

Question 5

On a Value Stream Map (VSM), what does a kaizen burst symbol represent?

Accepted Answer

A location targeted for focused rapid improvement activity

Answer

A push production trigger between upstream and downstream processes

Answer

An area of high work-in-process inventory accumulation

Answer

The customer takt time demand rate at a specific process step

Question 6

A hypothesis test produces a p-value of 0.03 against a pre-set significance level (α) of 0.05. What is the correct conclusion?

Accepted Answer

Reject H₀; sufficient evidence exists to support the alternative hypothesis

Answer

Fail to reject H₀; the result is not statistically significant

Answer

The true effect size is exactly 3% above the expected value

Answer

There is a 97% probability that the null hypothesis is true