IASSC IASSC Certifications ICBB Questions & Answers

• Question 231:

  A(n) ______________ is best used to compare a Machine 1 average quality characteristic to the same quality characteristic of Machine 2.

  A. 1-Sample t-test

  B. 2-Sample t-test

  C. F test

  D. ANOVA test

  Correct Answer: B

• Question 232:

  Which statement is most correct for the Regression Analysis shown here?

  

  A. The Regression explains 50.8% of the process variation

  B. The air-fuel ratio explains most of the TurbineOutput variation

  C. This Simple Linear Regression explains 98+% of the process variation

  D. This Multiple Linear Regression has four statistically significant independent variables

  Correct Answer: B

• Question 233:

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

  

  A. Two factors were operated at 3 levels each

  B. The highest tool age was achieved with metal hardness at high level while keeping the cutting speed at the low level

  C. The design indicated above is a 32 factorial design

  D. The cutting speed and cutting angle are at the low level for the least tool age achieved

  E. All factors had 2 levels in the experiment

  Correct Answer: BCE

• Question 234:

  Screening experiments are the proper choice when a Belt is faced with the situation of highly Fractional Factorial Designs.

  A. True

  B. False

  Correct Answer: A

• Question 235:

  Fractional Factorial designs are used to reduce the time and cost of experiments because the ____________ has been lowered.

  A. Number of data measurement points

  B. Number of runs

  C. People involved

  D. Output summary

  Correct Answer: B

• Question 236:

  A Factorial Experiment based on a Level 2 Design with 4 factors would require 16 runs to fully assess the interactions.

  A. True

  B. False

  Correct Answer: A

• Question 237:

  Fractional Factorial Designs are used to analyze factors to model the output as a function of inputs if Hypothesis Testing in the Analyze Phase was inadequate to sufficiently narrow the factors that significantly impact the output(s).

  A. True

  B. False

  Correct Answer: A

• Question 238:

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

  

  A. The air-fuel ratio explains most of the TurbineOutput variation

  B. The Regression explains over 98% of the process variation

  C. This Multiple Linear Regression has three statistically significant independent variables

  D. If the air-fuel ratio increases by 1, the TurbineOutput more than triples

  E. The SteamExitTemp explains the most variation of the TurbineOutput

  Correct Answer: DE

• Question 239:

  Which statement(s) are correct about the Factorial Plot shown here? (Note: There are 3 correct answers).

  

  A. When the cutting speed increased from low to high level, the tool age increases

  B. The coefficient of the metal hardness is positively related to the output of tool age

  C. The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age

  D. These plots prove a statistically significance factor with 95% confidence

  E. These plots are an example of interaction plots

  Correct Answer: ABC

• Question 240:

  A Full Factorial experiment using a 2 level 4 factor approach has been proposed to test the viability of an extrusion machine experiment. How many treatment combinations will this approach involve?

  A. 8

  B. 16

  C. 32

  D. 64

  Correct Answer: B