mich of the following continuous distra symmetrical and unskewed over ite erating range? Normal Weibull Lognormal Exponential
mich of the following continuous distra symmetrical and unskewed over ite erating range? Normal Weibull Lognormal Exponential
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![STATISTICAL
4.11. Which of the following continuous distributions
is symmetrical and unskewed over its typical
operating range?
a. Normal
b. Weibull
c. Lognormal
d. Exponential
4.12. The means of large samples from a population
with finite variance tend to be normally
distributed around the population mean. This
statement is true according to which of the
following theorems?
a. Central limit
b. Camp-Meidel
c. Tchebysheff's
d. Least squares
4.13. If f(t), R(t), and h(t) denote the failure time
density function, reliability function, and hazard-
rate function a device, which one of the
following expressions is true?
R(t)=exp[-h(s)ds]
a.
b. h(t)=-=[hR(t)]
h(t)
R(1)
c. f(t)=-
d. h(t) = R(s)ds
4.14. A new refrigerator has a probability of working
correctly when it is first plugged in of 0.985.
The probability that it will be delivered to the
person's home with no dents is 0.947. What is
the probability that it will arrive with no damage,
and will work the first time?
a. 0.932
b. 0.933
c. 0.985
d. 0.999
4.15. A process is in control at X-double bar = 100, R-
bar = 7.3 with n = 4. If the process level shifts to
101.5, with the same R-bar, what is the
probability that the next X-bar point will fall
outside the old control limits?
a. 0.016
b. 0.029
c. 0.122
d. 0.360
4.16.
A certain equipment has a MTBF of m = 300
hours. Assuming an exponential distribution of
time to failure, what is the maximum time of
allowable operation if a reliability of 0.999 is
required?
a. 30 hours
b. 0.3 hours
c. 300 hours
d. 0.003 hours
4.17. Which principle underlies the effectiveness of
reliability control charting?
a. The samples are randomly selected
b. The samples are heterogeneous
c. The process shows design immaturity
d. For reliability applications, the failure rate is
erratic
4.18. A plastics plant operates 8 extruders producing
plastic film. Production volume requirements
cannot be met if fewer than 6 extruders are
operating. There is a 0.30 probability that a
machine stopping malfunction will occur. What
is the probability that at least 6 extruders can
remain operating throughout the day?
a. 0.5783
b. 0.4482
c. 0.5518.
d. 0.8059
4.19. The sample size needed for hypothesis testing:
a. Depends upon the proportion rate
b. Can be determined
c. Requires a known censor point
d. Indicates that a confidence level and
reliability must be provided
4.20. In 1000 trials, independent, with the same
probability of failure at each trial, 50 failures
were observed. Upper and lower 90%
(symmetrical 80%) confidence limits on the
reliability are:
a. 0.96 0.94
b. 0.98 -0.92
c. 0.99-0.96
d. 1.00 0.95
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Transcribed Image Text:STATISTICAL
4.11. Which of the following continuous distributions
is symmetrical and unskewed over its typical
operating range?
a. Normal
b. Weibull
c. Lognormal
d. Exponential
4.12. The means of large samples from a population
with finite variance tend to be normally
distributed around the population mean. This
statement is true according to which of the
following theorems?
a. Central limit
b. Camp-Meidel
c. Tchebysheff's
d. Least squares
4.13. If f(t), R(t), and h(t) denote the failure time
density function, reliability function, and hazard-
rate function a device, which one of the
following expressions is true?
R(t)=exp[-h(s)ds]
a.
b. h(t)=-=[hR(t)]
h(t)
R(1)
c. f(t)=-
d. h(t) = R(s)ds
4.14. A new refrigerator has a probability of working
correctly when it is first plugged in of 0.985.
The probability that it will be delivered to the
person's home with no dents is 0.947. What is
the probability that it will arrive with no damage,
and will work the first time?
a. 0.932
b. 0.933
c. 0.985
d. 0.999
4.15. A process is in control at X-double bar = 100, R-
bar = 7.3 with n = 4. If the process level shifts to
101.5, with the same R-bar, what is the
probability that the next X-bar point will fall
outside the old control limits?
a. 0.016
b. 0.029
c. 0.122
d. 0.360
4.16.
A certain equipment has a MTBF of m = 300
hours. Assuming an exponential distribution of
time to failure, what is the maximum time of
allowable operation if a reliability of 0.999 is
required?
a. 30 hours
b. 0.3 hours
c. 300 hours
d. 0.003 hours
4.17. Which principle underlies the effectiveness of
reliability control charting?
a. The samples are randomly selected
b. The samples are heterogeneous
c. The process shows design immaturity
d. For reliability applications, the failure rate is
erratic
4.18. A plastics plant operates 8 extruders producing
plastic film. Production volume requirements
cannot be met if fewer than 6 extruders are
operating. There is a 0.30 probability that a
machine stopping malfunction will occur. What
is the probability that at least 6 extruders can
remain operating throughout the day?
a. 0.5783
b. 0.4482
c. 0.5518.
d. 0.8059
4.19. The sample size needed for hypothesis testing:
a. Depends upon the proportion rate
b. Can be determined
c. Requires a known censor point
d. Indicates that a confidence level and
reliability must be provided
4.20. In 1000 trials, independent, with the same
probability of failure at each trial, 50 failures
were observed. Upper and lower 90%
(symmetrical 80%) confidence limits on the
reliability are:
a. 0.96 0.94
b. 0.98 -0.92
c. 0.99-0.96
d. 1.00 0.95
MacBook Air
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