PEOPLECERT IASSC Lean Six Sigma - Black Belt IASSC Lean Six Sigma - Black Belt Dumps in PDF

Free PEOPLECERT IASSC Lean Six Sigma - Black Belt Real Questions (page: 6)

A Factorial Experiment based on a Level 2 Design with 6 factors would require 16 runs to fully assess the interactions.

  1. True
  2. False

Answer(s): B



A Full Factorial experiment using a 3 level 3 factor approach has been proposed to test the viability of an extrusion machine experiment. How many treatment combinations will this approach involve?

  1. 6
  2. 9
  3. 27
  4. 54

Answer(s): C



Which statement(s) are correct about the DOE Factorial plot output here? (Note: There are 3 correct answers).

  1. Two factors were operated at 3 levels each
  2. The highest tool age was achieved with metal hardness at high level while keeping the cutting speed at the low level
  3. The design indicated above is a 32 factorial design
  4. The cutting speed and cutting angle are at the low level for the least tool age achieved
  5. All factors had 2 levels in the experiment

Answer(s): B,C,E



Which statement(s) are incorrect for the Regression Analysis shown here? (Note: There are 2 correct answers).

  1. The air-fuel ratio explains most of the TurbineOutput variation
  2. The Regression explains over 98% of the process variation
  3. This Multiple Linear Regression has three statistically significant independent variables
  4. If the air-fuel ratio increases by 1, the TurbineOutput more than triples
  5. The SteamExitTemp explains the most variation of the TurbineOutput

Answer(s): D,E



Which statement(s) are most correct for the Regression Analysis shown here?

  1. The Regression explains 50.8% of the process variation
  2. The air-fuel ratio explains most of the TurbineOutput variation
  3. This Simple Linear Regression explains 98+% of the process variation
  4. This Multiple Linear Regression has four statistically significant independent variables

Answer(s): B



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