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Exam 10: A: Statistical Quality Control

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Question 61

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Given the following process control data for a normally distributed quality variable (three samples of size four each): -If the process is known to have a mean of 15 and a standard deviation of 3,what is the mean of the sampling distribution of sample means for whenever this process is under control? The standard deviation?

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Question 62

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Control limits are determined based on design specification limits.

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Question 63

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There is no direct link between design specifications and statistical process control limits.

Concluding that a process has not changed when it has is known as a Type I error.

What is the sample mean service life for sample 2?

Control limits are specifications established by engineering design or customer requirements.

If he uses upper and lower control limits of 23 and 17 ounces,on what day(s) ,if any,does this process appear to be out of control?

The specification limits for a product are 8 cm and 10 cm.A process that produces the product has a mean of 9.5 cm and a standard deviation of 0.2 cm.What is the process capability,Cpk?

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

Given the following process control data for a normally distributed quality variable (three samples of size four each): -If the process is known to have a mean of 15 and a standard deviation of 3,what is the alpha risk (probability of Type I error)for upper and lower control limits of 16.5 and 13.5 respectively? 18 and 12? 19.5 and 10.5?

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

Which of the following quality control sample statistics measures a quality characteristic which is an attribute?

Control charts based on attribute data are for process characteristics that are counted rather than measured.

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

The probability of a Type I error is the probability of concluding that assignable variation is present even though only random variation exists.

The range chart (R-chart) is most likely to detect a change in:

The probability of concluding that an 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 distribution.

Approximately 99.7% of sample means will fall within ± two standard deviations of the process mean.

Process variability is a key factor in process capability.

Quality control efforts that occur during production are referred to as statistical process control.