CLSSBB

CLSSBB practice questions, page 3 of 12, with answer review and explanations.

Question 11

The Control Limits width varies if the sample size varies for which type of chart?

  1. P Charts
  2. NP Charts
  3. Xbar-R Charts
  4. Time Series Charts

Question 12

Which of these elements are not included in Implementation plans?

  1. Work breakdown structure
  2. Risk management plans
  3. Cost/Benefit ratios
  4. Planned audits of work completion

Question 13

Upon completion and validation of an improvement to a process a Belt and the Project Team create a Control Plan that contains which of these?

  1. Standard operating work description of the process change
  2. Description of the monitoring system in place to assure continued compliance
  3. Summary of the targeted critical metrics for process performance measurement
  4. All of the above

Question 14

What conclusion is most correct about the Experimental Design shown here with the response in the far right column?

  1. No factor has enough statistical confidence greater than 95% to have an impact on the response rate
  2. Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more
  3. If the Adv is increased from the low level to the high level, the response rate increases
  4. The response level is statistically concluded to only need the Adv and Bev factors set at the low level to get the largest response rate
  5. This design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output

Question 15

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

  1. When the cutting speed increased from low to high level, the tool age increases
  2. The coefficient of the metal hardness is positively related to the output of tool age
  3. The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age
  4. These plots prove a statistically significance factor with 95% confidence
  5. These plots are an example of interaction plots