ALLIED MAT130 MODULE 8 check your understanding

Question Points
1. A run
chart is a sequential plot of individual data values over time.
a. True
b. False
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2. Determine
what bests completes the following definition: _____ variation is due to
chance; it is the type of variation inherent in any process that is not capable
of producing every good or service exactly the same way every time.
a. Unexplained
b. Assignable
c. Random
d. Explained
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3.
A run chart for individual values is shown below. Does there
appear to be a pattern suggesting that the process is not within statistical
control? If so, describe the pattern.

a. Process appears
to be out of statistical control. There is a cyclical pattern.
b. Process variation
appears to be in statistical control.
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4.
Examine the given run chart or control chart and determine
whether the process if within statistical control. If it is not, identify which
of the three out-of-statistical-control criteria apply.

a. Process appears
to be out of statistical control. There is an upward shift. There are eight
consecutive points below the centerline.
b. Process variation
appears to be in statistical control.
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5. Determine
what completes the following definition: _____ are data arranged according to
some time sequence. They are measurements of a characteristic of goods or
services that result from some combination of equipment, people, materials,
methods, or conditions.
a. Process data
b. Progressive data
c. Statistical data
d. Timed data
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6.
A control chart for R is shown below. Determine whether the
process variation is within statistical control. If it is not, identify which
of the three out-of-statistical-control criteria lead to rejection of
statistically stable variation.

a. Process is out of
statistical control. There is a downward trend.
b. Process variation
appears to be in statistical control.
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7. Process
data are data arranged according to some time sequence. They are measurements
of a characteristic of goods or services that result from some combination of
equipment, people, materials, methods, and conditions.
a. True
b. False
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8.
A control chart for
is shown below. Determine whether the process mean is within statistical
control. If it is not, identify which of the three-out-of-control criteria lead
to rejection of a statistically stable mean.

a. Process mean is
within statistical control.
b. Process mean is
not within statistical control. There are points above and below the control
limits. There is a shift upward.
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9. Determine
which of the following is not a condition that must be satisfied for a process
to be statistically stable (or within statistical control):
a. It has only
natural variation
b. It has no patterns
c. It has no cycles
d. It has unusual
points
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10.
A control chart for
is shown below. Determine whether the process mean is within statistical
control. If it is not, identify which of the three-out-of-control criteria lead
to rejection of a statistically stable mean.

a. Process mean is
within statistical control.
b. Process mean is
not within statistical control. There are points above and below the control
limits. There is a cyclical pattern.
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11. A process
is statistically stable if it has only natural variation, with no patterns,
cycles, or any unusual points.
a. True
b. False
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12. Six Sigma
represents reduced variation in a manufacturing process, which is the goal of
statistical process control.
a. True
b. False
13. Control
charts have upper control limits and lower control limits found by processes
similar to those for finding confidence intervals.
a. True
b. False
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14.
A run chart for individual values is shown below. Does there
appear to be a pattern suggesting that the process is not within statistical
control? If so, describe the pattern.

a. Process appears
to be out of statistical control. There are 8 consecutive points below the
centerline, beginning around sample 8.
b. Process variation
appears to be in statistical control.
15. Determine
which of the following is not a requirement when constructing a control chart
for p that can be used to determine whether the proportion of some attribute
(such as whether products are defective) from process data is within
statistical control.
a. The data are
process data consisting of a sequence of samples all of the same size n.
b. Each sample item
belongs to one of two categories.
c. The individual
sample data values are independent.
d. The distribution
of the process data is essentially normal.