Exam 13: Statistical Process Control

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Which of the following is CORRECT regarding an x-chart?

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Which of the following pairs of charts are used together?

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In the application of control charts,as the sample size is increased:

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If the lower limit for a p-chart computes to a number less than zero,this indicates:

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Assignable causes are more difficult to identify in unstable processes.

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Construct a flow chart that illustrates the decision process for selecting the appropriate control chart(s)for monitoring a given process.

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Collecting _____ data is usually easier than collecting _____ data because the assessment can usually be done more quickly by a simple inspection or count.

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Which of the following is NOT an indication of an out-of-control process?

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For variables data,the necessary sample size can be estimated by specifying the desired minimum shift in the process mean to be detected.

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Control limits for variables and attribute data utilize the same mathematical formulas.

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If all the points on a control chart are within the control limits,then the process is in statistical control.

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A process is deemed "out of control" when:

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Process capability indices cannot be computed from data in an Process capability indices cannot be computed from data in an   -chart. -chart.

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In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? chart is 44.8. a Compute In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? for this process using estimates of the process mean and standard deviation derived from the random sample. b. Compute In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? for this process using estimates of the process mean and standard deviation derived from the control chart parameters. c. Compute In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? for this process using estimates of the process mean and standard deviation derived from the random sample. . Compute In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? for this process using estimates of the process mean and standard deviation derived from the control chart parameters d. What do the differences between the values of In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? and In the manufacture of vitamin capsules, the proportion of calcium in each capsule has a specification of   parts per million (ppm). A random sample of 100 capsules revealed a sample average calcium content of 44.5 ppm and a sample standard deviation of 3.2 ppm. Management uses   and R-charts to monitor the calcium amount using samples of size 4. The charts depict an in-control process. The centerline of the R chart is 6.7 and the centerline of the   chart is 44.8.  a Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  b. Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters.  c. Compute   for this process using estimates of the process mean and standard deviation derived from the random sample.  . Compute   for this process using estimates of the process mean and standard deviation derived from the control chart parameters  d. What do the differences between the values of   and   tell you? tell you?

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Control limits are often confused with _____.

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In service applications,we generally use the term _____ to describe a nonconformance.

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For variables data,the sample means are assumed to be:

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The control chart most appropriate for data that represent the average number of packing slip errors per package shipped each day is the:

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Variable data are _____.

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Histograms allow you to distinguish between common and special causes of variation.

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