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CLSSBB-001 PDF DEMO:
QUESTION NO: 1
What conclusion is most correct about the Experimental Design shown here with the response in the far right column?
A. If the Adv is increased from the low level to the high level, the response rate increases
B. No factor has enough statistical confidence greater than 95% to have an impact on the response rate
C. 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
D. Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more
E. This design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output
Answer: C
QUESTION NO: 2
Common and ______________ Cause Variation are the focus of Statistical Process Control.
A. Ordinary
B. Selective
C. Special
D. Uncommon
Answer: C
QUESTION NO: 3
When variation is removed from the output of a process then the process customer can have more confidence in the experience that results from the process.
A. False
B. True
Answer: B
QUESTION NO: 4
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?
A. Summary of the targeted critical metrics for process performance measurement
B. Standard operating work description of the process change
C. Description of the monitoring system in place to assure continued compliance
D. All of the above
Answer: D
QUESTION NO: 5
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. If the air-fuel ratio increases by 1, the TurbineOutput more than triples
C. The SteamExitTemp explains the most variation of the TurbineOutput
D. The Regression explains over 98% of the process variation
E. This Multiple Linear Regression has three statistically significant independent variables
Answer: B,C
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Updated: May 27, 2022