← All Certified Six Sigma Black Belt Exam Flashcard Decks

Certified Six Sigma Black Belt Design of Experiments (DOE) Questions and Answers Flashcards

6 cards from real Certified Six Sigma Black Belt Exam practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 6 Certified Six Sigma Black Belt Design of Experiments (DOE) Questions and Answers flashcards as text
  1. In a 2^k factorial design, what does the term 'confounding' refer to?

    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.

  2. A Six Sigma Black Belt runs a 2^4 full factorial with two replicates. How many total experimental runs are required?

    Answer: 32

    A 2^4 design has 16 runs, and two replicates yield 16 × 2 = 32 total runs.

  3. Which of the following is the primary advantage of using a fractional factorial design over a full factorial?

    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.

  4. What is the resolution of a 2^(5-2) fractional factorial design with generators I=ABCD and I=BCE?

    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.

  5. In a Response Surface Methodology (RSM) study, what is the purpose of adding axial (star) points to a factorial design?

    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.

  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?

    Answer: Constant variance (homoscedasticity)

    A funnel-shaped residual plot indicates that variance increases with the predicted value, violating the constant variance assumption.