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Exam 10: Quality Control

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Question 51

Multiple Choice

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What are the control chart upper and lower control limits for an alpha risk of .05?

A) .0272 and .0128
B) .0287 and .0113
C) .029 and .013
D) .0303 and .0097
E) .0332 and .0068

F) A) and D)
G) B) and C)

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Question 52

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The variation of a sampling distribution is tighter than the variation of the underlying process distribution.

A) True
B) False

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Question 53

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Range control charts are used to monitor process central tendency.

The sampling distribution can be assumed to be approximately normal even when the underlying process distribution is not normally distributed.

A process that makes chocolate candy bars has an output that is normally distributed with a mean of 6 oz.and a standard deviation of .01 oz.A job is to be run that requires 200 candy bars. Determine three sigma control limits for an x-bar chart assuming a sample size of 10. If specifications are 5.98 to 6.02, what run size should be used for this job so that the expected number of good candy bars is 200, assuming the process is in control?

_______ variation is a variation whose cause can be identified.

A c-chart is used to monitor the total number of defectives in the output of a process.

Organizations should work to improve process capability so that quality control efforts can become more ________.

The number of defective parts in a sample is an example of variable data because it will "vary" from one sample to another.

"Assignable variation" is variation due to a specific cause, such as tool wear.

The optimum level of inspection minimizes the sum of inspection costs and the cost of passing defectives.

A run test checks a sequence of observations for randomness.

The probability of concluding that assignable variation exists when only random variation is present is: (I) the probability of a Type I error (II) known as the alpha risk (III) highly unlikely (IV) the sum of probabilities in the two tails of the normal distribution

Patterns of data on a control chart suggest that the process may have non-random variation.

What is the estimate of the process mean for whenever it is under control?

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

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

What is the standard deviation of the sampling distribution of sample means for whenever service life is in control?

The larger the process variation, the tighter the specifications should be.

If he uses upper and lower control limits of 520 and 480 hours, what is his risk (alpha) of concluding service life is out of control when it is actually under control (Type I error) ?