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Exam 10: A: Statistical Quality Control

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Question 51

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For which of the following would a p-chart be used?

A) Monitor the process means for samples.
B) Monitor dispersion in sample data.
C) Monitor the proportion of defectives in a sample.
D) Monitor the number of defects per unit.
E) Monitor the range of values in samples.

F) B) and E)
G) B) and D)

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Question 52

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If upper and lower control limits were set as 0.028 and 0.010,which machine(s) ,if any,appear(s) to be out-of-control for process proportion of defectives?

A) Machine #3 only
B) Machine #4 only
C) Machines #3 and #4
D) Machines #2 and #3
E) None of the machines.

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

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Question 53

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A point which is outside of the lower control limit on an R-chart:

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process proportion of defectives is unknown,what is the alpha risk (probability of Type I error)for upper and lower control limits of .115 and .085 respectively? .13 and .07? .145 and .055?

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process proportion of defectives is unknown,using .10 alpha risk control limits,do any of the sample proportions indicate an out-of-control process proportion of defectives?

Attributes are process characteristics that must be measured rather than counted.

Even when the sample size is fairly small,the sampling distribution can be assumed to be approximately normal even if the underlying process distribution is not normally distributed.

Statistical process control is based on comparing periodic samples from a process to predetermined limits.

A process capability index (C_p)of 0.70 indicates that a process is capable of producing to design specifications.

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process proportion of defectives is unknown,what is the estimate of it?

Given the following process control data for a quality attribute (three samples of size 400 each): -What is the sample proportion of defectives for sample #1? #2? #3?

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 are the three sigma upper and lower control limits for an x-bar chart?

The main task in process control is to distinguish assignable from random variation.

Low-cost,high-volume items typically require relatively low levels of inspection.

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

Using the factors for three sigma control limits,what are the sample range (R) chart upper and lower control limits?

What is the sample average range based upon this limited sample?

Given the following process control data for a quality attribute (three samples of size 400 each): -If the process proportion of defectives is unknown,what are the upper and lower control limits for an alpha risk of .10? .05? .01?

Six sigma quality refers to achieving process variation so small that the half-width of the design specification equals six times the standard deviation of the process.

Which of the following is not a step in the quality control planning process?