CQE Actual Questions Answers Pass With Real CQE Exam Dumps [Q81-Q99]

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CQE Actual Questions Answers Pass With Real CQE Exam Dumps

CQE Dumps Prepare Your Exam With 162 Questions

Q81. An X-bar chart has shown control for a long time. You see that points for the last 50 samples are all very near the center line on the chart. In fact, they are all within one sigma of the center line. This probably indicates that

 
 
 
 

Q82. The equation below represents the:

 
 
 
 

Q83. Which of the following statements is CORRECT?

 
 
 
 

Q84. When requesting “worst case” design analysis, you expect the reliability group to

 
 
 
 

Q85. When trying to find all possible causes of a problem, which of the following tools would be useful?
. Systematic troubleshooting and brainstorming.
. Fishbone diagrams and histograms.
. Checklists and scatter diagrams.
. Control charts and graphs.

 
 
 
 

Q86. What distribution is used to determine the OC curve for an attributes sampling plan?

 
 
 
 

Q87. A “p” chart

 
 
 
 

Q88. In most cases, an improvement team facilitator will NOT normally:

 
 
 
 

Q89. The primary advantage of the Latin square design, compared to the factorial design, is that

 
 
 
 

Q90. Writing and establishing process control procedures is

 
 
 
 

Q91. The weight of paint cans is considered

 
 
 
 

Q92. Which of the following is NOT considered a prevention cost?

 
 
 
 

Q93. According to Tchebysheff’s theorem what % of measurements must lie within 2.5 standard deviations of the mean?

 
 
 
 

Q94. A two-way analysis of variance has r levels for one variable and c levels for the second variable with 2 observations per cell. The degree of freedom for interaction is

 
 
 
 

Q95. Which of the following are the MOST logical reasons for providing source inspection?
I. The supplier has consistently shown poor out-going quality.
II. The key inspection points are hidden after assembly at the suppliers’ plant.
III. The supplier requests the inspection to save them potential shipping expenses.
IV. The criticality of the product warrants it.

 
 
 
 

Q96. Determine the coefficient of variation for the last 500 pilot plant test runs of high temperature film having a mean of 900 Kelvin with a standard deviation of 54.

 
 
 
 

Q97. Benchmarking might be defined as any of the following EXCEPT:

 
 
 
 

Q98. The difference between setting alpha equal to 0.05 and alpha equal to 0.01 in hypothesis testing is

 
 
 
 

Q99. Analysis of data on all product returns is important because
I. Failure rates change with length of product usage.
II. Changes in design and in customer use are often well reflected.
III. Immediate feedback and analysis of product performance becomes available.

 
 
 
 

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