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

• A.This design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output
• 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.If the Adv is increased from the low level to the high level, the response rate increases
• E.Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more

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A patient arrives at the clinic at noon and was called into an exam room at 12:43 pm by a nurse for a blood draw. The blood draw tubes were not available in the exam room, so the nurse went to the clinic supply room and found that no blood draw tubes were left. In addition to waiting, which of the following forms of waste were present?

• A.Inventory
• B.Overproduction
• C.Motion
• D.bottleneck

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How many experimental runs exist in a Full Factorial and fully randomized design for 5 factors with 2 replicates for the Corner Points and no Center Points? The factors in the experiment are only at 2-levels.

• A.10
• B.128
• C.256
• D.64

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Which of the following control charts should a manufacturer use to measure the number of products rejected due to nonconformance?

• A.X-s chart
• B.c chart
• C.p chart
• D.ImR chart

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A team has brainstormed a large number of possible drivers of process issues for which other data is not readily available. What tool should the team use to identify the connection between various issues to determine the key drivers?

• A.Interrelationship digraph
• B.Cause and effect diagram
• C.Correlation analysis
• D.Design of experiments

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