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1of 97
4 of 10
Results for: 5%
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Chapter 10 - Quality Control 78. A town'
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.0226 109. Using .95 control limits, (5% risk of Type I error), which instructor
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Chapter 10 - Quality Control 107. What i
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error. A. 67% B. 92% C. 33% D. 0.3% E. 5% 141. The basis for a statistical proce
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Chapter 10 - Quality Control 138. A proc
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Chapter 10 - Quality Control 78. A town'
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Chapter 10 - Quality Control 107. What i
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Chapter 10 - Quality Control 109. Using
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error. A. 67% B. 92% C. 33% D. 0.3% E. 5% These would be three-sigma limits. AAC
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Chapter 10 - Quality Control 139. When a
Chap010-1 Exam OM
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Chapter 10 - Quality
Control
8. A lower control
limit must by
definition be a
value less than an
upper control
limit.True False
9. Attributes need
to be measured,
variable data can
be counted.True
False
10. The amount of
inspection we
choose can range
from no inspection
at all to inspecting
eachitem
numerous
times.True False
11. The amount of
inspection needed
is governed by the
costs of inspection
and the
expectedcosts of
passing defective
items.True False
12. The purpose of
statistical process
control is to ensure
that historical
output is
random.True False
13. A process that
exhibits random
variability would
be judged to be out
of control.True
False
14. If a point on a
control chart falls
outside one of the
control limits, this
suggests that
the process output
is non-random and
should be
investigated.True
False
15. An x-bar
control chart can
only be valid if the
underlying
population it
measures is
anormal
distribution.True
False
10-2
Chapter 10 - Quality
Control
16. Concluding a
process is out of
control when it is
not is known as a
Type I error.True
False
17. An R value of
zero (on a range
chart) means that
the process must
be in control since
allsample values
are equal.True
False
18. Range charts
are used mainly
with attribute
data.True False
19. Range charts
and p-charts are
both used for
variable data.True
False
20. A p-chart is
used to monitor
the fraction of
defectives in the
output of a
process.True False
21. A c-chart is
used to monitor
the total number of
defectives in the
output of a
process.True False
22. A c-chart is
used to monitor
the number of
defects per unit for
process
output.True False
23. Tolerances
represent the
control limits we
use on the
charts.True False
10-3
Chapter 10 - Quality
Control
24. "Process
capability"
compares "process
variability" to the
"tolerances."True
False
25. Control limits
used on process
control charts are
specifications
established by
design
or customers.True
False
26. Control limits
tend to be wider
for more variable
processes.True
False
27. Patterns of
data on a control
chart suggest that
the process may
have non-
randomvariation.T
rue False
28. The output of a
process may not
conform to
specifications even
though the process
may be
statistically "in
control."True
False
29. Run tests are
useful in helping
to identify
nonrandom
variations in a
process.True False
30. Run tests give
managers an
alternative to
control charts;
they are quicker
and cost less.True
False
31. Statistical
process control
focuses on the
acceptability of
process
output.True False
10-4
Chapter 10 - Quality
Control
32. A run test
checks a sequence
of observations for
randomness.True
False
33. Even if the
process is not
centered, the
process capability
index (indicated
by Cpk) is
veryuseful.True
False
34. The process
capability index
(indicated by Cpk)
can be used only
when the process
iscentered.True
False
35. Quality control
is assuring that
processes are
performing in an
acceptable
manner.True False
36. The primary
purpose of
statistical process
control is to detect
a defective product
before itis shipped
to a customer.True
False
37. The Taguchi
Cost Function
suggests that the
capability ratio can
be improved
byextending the
spread between
LCL and
UCL.True False
38. The variation
of a sampling
distribution is
tighter than the
variation of the
underlying process
distribution.True
False
10-5
Chapter 10 - Quality
Control
39. The sampling
distribution can be
assumed to be
approximately
normal even when
theunderlying
process
distribution is not
normally
distributed.True
False
40. Approximately
99.7% of sample
means will fall
within ±
two standard
deviations of
the process mean
if the process is
under control.True
False
41. The best way
to assure quality is
to use extensive
inspection and
control charts.True
False
42. Control limits
are based on
multiples of the
process standard
deviation.True
False
43. Attribute data
are counted,
variable data are
measured.True
False
44. The number of
defective parts in a
sample is an
example of
variable data
because it
will"vary" from
one sample to
another.True False
45. Larger samples
will require wider
x-bar control
limits because
there is more
data.True False
46. When a
process is not
centered, its
capability is
measured in a
slightly different
way. Thesymbol
for this case is
Cpk.True False