Exam 10: A: Statistical Quality Control

arrow
  • Select Tags
search iconSearch Question
flashcardsStudy Flashcards
  • Select Tags

What is the sample mean service life for sample 2?

(Multiple Choice)
4.7/5
(33)

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?

(Multiple Choice)
4.8/5
(33)

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

(True/False)
4.8/5
(31)

Given the following process control data for a normally distributed quality variable (three samples of size four each): 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? -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?

(Short Answer)
4.9/5
(30)

Process variability is a key factor in process capability.

(True/False)
4.8/5
(35)

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

(Multiple Choice)
4.9/5
(40)

Given the following process control data for a normally distributed quality variable (three samples of size four each): 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? -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?

(Short Answer)
4.9/5
(30)

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

(True/False)
4.8/5
(30)

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.

(Multiple Choice)
4.8/5
(31)

Control limits are determined based on design specification limits.

(True/False)
4.7/5
(44)

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

(True/False)
4.9/5
(34)

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

(True/False)
4.9/5
(36)

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

(True/False)
4.8/5
(36)

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?

(Multiple Choice)
4.7/5
(31)

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

(True/False)
4.8/5
(39)

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

(True/False)
4.8/5
(39)

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

(Multiple Choice)
4.9/5
(33)

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

(Multiple Choice)
4.7/5
(43)

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

(True/False)
4.7/5
(37)

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

(True/False)
4.8/5
(27)
Showing 101 - 120 of 121
close modal

Filters

  • Essay(0)
  • Multiple Choice(0)
  • Short Answer(0)
  • True False(0)
  • Matching(0)