Exam 11: Statistically Based Quality Improvement for Variables

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One hundred percent samples are also known as screening samples.

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In a variables control chart, large jumps of more than three or four standard deviations result in process drift.

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Use the following table to answer the question(s) below. Use the following table to answer the question(s) below.    -Close tolerances are required in the manufacturing section of an automotive parts business. Since the customers demand quality, the owner wants to monitor the operation closely using statistical process control. After taking 8 samples of size 4, the owner finds himself with the data in the table above. What is the center line for a chart that will monitor process average? -Close tolerances are required in the manufacturing section of an automotive parts business. Since the customers demand quality, the owner wants to monitor the operation closely using statistical process control. After taking 8 samples of size 4, the owner finds himself with the data in the table above. What is the center line for a chart that will monitor process average?

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Use the following table to answer the question(s) below. Use the following table to answer the question(s) below.    -A machine shop owner wishes to monitor the diameter of an engine boring operation where the piston bore should be 4.25. He obtains 8 samples of 5 and records the data in the table above. What should the lower and upper control limits be for an X-bar chart? -A machine shop owner wishes to monitor the diameter of an engine boring operation where the piston bore should be 4.25". He obtains 8 samples of 5 and records the data in the table above. What should the lower and upper control limits be for an X-bar chart?

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Process stability refers to the ability of a process to produce a product that meets specification.

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________ are tools for monitoring process variation.

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Although xˉ \bar{x} charts generally are preferred for variables data, sometimes it is too time consuming or inconvenient to compute subgroup averages. In these cases, a(n) ________ is used.

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Which of the following is true of nonrandom variation?

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The ________ reflects a population distribution.

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Design a control chart to monitor the gas mileage in your car. Collect the data over time.

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If a systematic sample is performed according to sequence, the product is inspected at regular intervals of time.

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Use the following table to answer the question(s) below. Use the following table to answer the question(s) below.    -A machine shop owner wishes to monitor the diameter of an engine boring operation where the piston bore should be 4.25. He obtains 8 samples of 5 and records the data in the table above. What should the upper and lower control limits be for an R chart? -A machine shop owner wishes to monitor the diameter of an engine boring operation where the piston bore should be 4.25". He obtains 8 samples of 5 and records the data in the table above. What should the upper and lower control limits be for an R chart?

(Multiple Choice)
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Statistical process control charts are tools for monitoring process variation.

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Process charts are graphs designed to signal process workers when nonrandom variation is occurring in a process.

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Consumer's risk is also called a ________ error.

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The upper and lower specifications for metal head plates are 5 The upper and lower specifications for metal head plates are 5   0.1 cm. A sample of the metal head plates in 25 undergraduates yields a mean of 5.05. We know that the population standard deviation is 0.04. What is the population capability index? 0.1 cm. A sample of the metal head plates in 25 undergraduates yields a mean of 5.05. We know that the population standard deviation is 0.04. What is the population capability index?

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A g chart is useful when data are hypergeometrically distributed.

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Consumer's risk happens when statistical quality analysis fails to result in the scrapping or reworking of a defective product.

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________ are often used in monitoring the production of silicon chips for computers.

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The s chart is often used where variation in a process is large.

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