Certified Six Sigma Black Belt Exam Certified Six Sigma Black Belt Design of Experiments (DOE) Questions and Answers 2 — Questions and Answers
Question 1: In a 2^k factorial design, what does the term 'confounding' refer to?
- Aliasing a higher-order interaction with a block effect (Correct answer)
- Randomizing the run order within each block
- Replicating center points to estimate curvature
- Adding noise factors to the experimental layout
Correct answer: Aliasing a higher-order interaction with a block effect
Confounding deliberately aliases a high-order interaction effect with the block effect so the experiment can be run in fewer blocks.
Question 2: A Six Sigma Black Belt runs a 2^4 full factorial with two replicates. How many total experimental runs are required?
- 32 (Correct answer)
- 16
- 24
- 48
Correct answer: 32
A 2^4 design has 16 runs, and two replicates yield 16 × 2 = 32 total runs.
Question 3: Which of the following is the primary advantage of using a fractional factorial design over a full factorial?
- It reduces the number of runs while still estimating main effects (Correct answer)
- It eliminates the need for randomization
- It guarantees detection of all interaction effects
- It removes the requirement for replication
Correct answer: It reduces the number of runs while still estimating main effects
Fractional factorials sacrifice information on higher-order interactions to significantly reduce the total number of experimental runs.
Question 4: What is the resolution of a 2^(5-2) fractional factorial design with generators I=ABCD and I=BCE?
- Resolution III (Correct answer)
- Resolution IV
- Resolution V
- Resolution II
Correct answer: Resolution III
The generators produce a word-length of three (BCE), making it a Resolution III design where main effects are aliased with two-factor interactions.
Question 5: In a Response Surface Methodology (RSM) study, what is the purpose of adding axial (star) points to a factorial design?
- To allow estimation of quadratic (second-order) effects (Correct answer)
- To increase the number of blocks in the experiment
- To reduce the total number of runs needed
- To eliminate multicollinearity among factors
Correct answer: To allow estimation of quadratic (second-order) effects
Axial points extend the factorial design so that curved, second-order relationships between factors and the response can be modeled.
Question 6: A Black Belt notices that the residual plot from a DOE shows a funnel shape with increasing spread. What assumption is most likely violated?
- Constant variance (homoscedasticity) (Correct answer)
- Normality of residuals
- Independence of observations
- Linearity of the model
Correct answer: Constant variance (homoscedasticity)
A funnel-shaped residual plot indicates that variance increases with the predicted value, violating the constant variance assumption.
In a 2^k factorial design, what does the term 'confounding' refer to?