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Exam 10: Quality Control

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Question 31

Multiple Choice

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This step in the control process includes a standard that can be used to evaluate the measurements.

A) define
B) compare
C) measure
D) evaluate
E) correct

F) B) and E)
G) C) and E)

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Question 32

Multiple Choice

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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 What is the estimate of the standard deviation of the sampling distribution for an instructor's sample proportion of failures?

A) .0075
B) .03
C) .075
D) .3
E) .75

F) A) and B)
G) B) and E)

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Question 33

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

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

The traditional view is that the optimum level of inspection is where the

This step in the control process includes sufficient detail about what is to be controlled.

The traditional view is that the optimum level of inspection minimizes the sum of inspection costs and the cost of passing defectives.

The assurance that processes are performing in an acceptable manner is the focus of

Processes that are in control eliminate variations.

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 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) ?

A process that exhibits random variability would be judged to be out of control.

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 What is the sample proportion of failures ( p) for Prof. D?

A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results If he uses upper and lower control limits of 520 and 480 hours, what is his risk (alpha) of concluding that service life is out of control when it is actually under control (Type I error) ?

When a process is in control, it results in there being, on average, 16 defects per unit of output. chart limits of 4 and 28 would lead to a _____ percent chance of a Type I error.

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 What is the estimate of the mean of the sampling distribution for the sample mean?

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

Studies on a bottle-filling machine indicate that it fills bottles to a mean of 16 ounces with a standard deviation of 0.10 ounces. What is the process specification, assuming the C_pk index of 1?

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

C_pk is useful even when the process is not centered.

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