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WorksheetsControl charts for Quality Control
Total questions: 15
Worksheet time: 7mins
Control chart based upon measurement of quality characteristics
control charts for variables
Control chart for Defects per unit
Control chart for fraction defective
None of the above
X bar-chart is also known as
Average Chart
Sum Chart
Fraction defective chart
Defects per unit chart
R chart is used to monitor the
variations of a process
means of a process
sum of a process
None of the above
charts used to monitor the proportion of nonconforming units of a process based on samples taken from the process at given times is
P chart
U chart
R chart
X chart
Example of Variable chart is
P charts
U chart
np chart
X bar chart
Which of the following is an example of an attribute data?
Voltage
Accepted/rejected
Dimensions
Weight
What type of variation occurs when a process is in control?
Random
Natural
Sampling
Assignable
Which of the following would be a "common" cause of variation?
Random sources
A machine in need of repair
An untrained worker
A defective raw material
The upper control limit defines:
The highest standard deviation of the process
The highest variance of the process
The highest level that the process should operate within
The highest specification limit that the customer wants
Using the terminology of statistical control, the variation outside the control limits on an X-bar or range chart
is viewed as uncontrollable.
is assumed to have been caused by special or assignable causes.
indicates that the system is probably out of control.
indicates that the system is out of control by special causes
all of the above.
A process is considered out of control if
one point plots beyond the 2 sigma warning limits
two out of three consecutive points plot beyond the 2 sigma warning limits
seven consecutive points plot on once side of the center line
2 out of five consecutive points plot at a distance of 1 sigma or beyond the center line
Attributes control charts are applied to data that
follow any distribution
follow normal distribution
follow a continuous distribution
follow a discrete distribute
What you can conclude from this chart?
the process is in control
the process is out control
Process is in control if
assignable causes is presence
operating with only chance causes of variation present
one point is out of specification limit
the mean has sifted
X bar and R control charts are used for
Inspection of raw material
Attribute inspection
Variable inspection
In-line inspection
