Exam 14: Quality Control

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The purpose of statistical process control is to ensure that historical output is random.

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Statistical process control is the measurement of rejects in the final product.

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A c-chart is used for:

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Consider the following information: Observations 1 2 3 4 5 6 Num. of defects 10 18 13 15 9 12 The number of runs up and down for the preceding data is:

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Control limits are based on multiples of the process standard deviation.

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A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is in control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each: Day Weight (ounces) Monday 23 22 23 24 Tuesday 23 21 19 21 Wednesday 20 19 20 21 Thursday 18 19 20 19 Friday 18 20 22 20 If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha) of concluding this process is out of control when it is actually in control (Type I error)?

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Range charts and p-charts are both used for variable data.

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If a process is performing as it should, it is still possible to obtain observations which are outside of which limits? (I) tolerances (II) control limits (III) process variability

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The purpose of control charts is to:

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A c-chart is used to monitor the number of defects per unit for process output.

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Cpk is useful even when the process is not centered.

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An x-bar control chart can only be valid if the underlying population it measures is a normal distribution.

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A quality analyst wants to construct a control chart for determining whether three machines, all producing the same product, are in control with regard to a particular quality variable. Accordingly, he sampled four units of output from each machine, with the following results: Machine Measurements \#1 17 15 15 17 \#2 16 25 18 25 \#3 23 24 23 22 What is the sample mean for machine #1?

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A shift in the process mean for a measured characteristic would most likely be detected by a:

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A process results in a few defects occurring in each unit of output. Long-run, these defects should be monitored with:

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The chair of the operations management department at Quality University wants to construct a p-chart for determining whether the four faculty teaching the basic P/OM course are in control with regard to the number of students who fail the course. Accordingly, he sampled 100 final grades from last year for each instructor, with the following results: Instructor Number of Failures Prof. A 13 Prof. B 0 Prof. C 11 Prof. D 16 What is the estimate of the standard deviation of the sampling distribution for an instructor's sample proportion of failures?

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Concluding that a process is out of control when it is not is known as a Type I error.

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Statistical process control focuses on the acceptability of process output.

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Cpk can be used only when the process is centered.

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Run tests are useful in helping to identify nonrandom variations in a process.

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