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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