Question
In: Statistics and Probability
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 11 ounces. a. The process standard deviation is .20 ounces, and the process control is set at plus or minus .75 standard deviations. Units with weights less than 10.85 or greater than 11.15 ounces will be classified as defects.
What is the probability of a defect (to 4 decimals)?
In a production run of 1000 parts, how many defects would be found (round to the nearest whole number)?
b. Through process design improvements, the process standard deviation can be reduced to .07 ounces. Assume the process control remains the same, with weights less than 10.85 or greater than 11.15 ounces being classified as defects.
What is the probability of a defect (round to 4 decimals; if necessary)? In a production run of 1000 parts, how many defects would be found (to the nearest whole number)?
Solutions
orchestra answered 1 year agoRelated Solutions
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of 7 ounces.
a. The process standard deviation is 0.10, and
the process control is set at plus or minus 2 standard deviation s
. Units with weights less than 6.8 or greater than 7.2 ounces will
be classified as defects. What is the probability of a defect (to...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of 14 ounces.
The process standard deviation is 0.2, and the process control
is set at plus or minus 0.5 standard deviation. Units with weights
less than 13.9 or greater than 14.1 ounces will be classified as
defects. What is the probability of a defect (to 4 decimals)?
In...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of 12 ounces.
a. The process standard deviation is 0.10 ounces, and the
process control is set at plus or minus 1.75 standard deviations.
Units with weights less than 11.825 or greater than 12.175 ounces
will be classified as defects. What is the probability of a defect
(to 4...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of 14 ounces.
a. The process standard deviation is 0.10
ounces, and the process control is set at plus or minus 2.25
standard deviations. Units with weights less than 13.775 or greater
than 14.225 ounces will be classified as defects. What is the
probability of a defect (to 4...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of 14 ounces.
The process standard deviation is 0.1, and the process control
is set at plus or minus 1.5 standard deviations. Units with weights
less than 13.85 or greater than 14.15 ounces will be classified as
defects. What is the probability of a defect (to 4 decimals)?
In...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of ounces.
a. The process standard deviation is , and the process control
is set at plus or minus standard deviation . Units with weights
less than or greater than ounces will be classified as defects.
What is the probability of a defect (to 4 decimals)? In a
production...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of ounces.
a. The process standard deviation is, and the process control is
set at plus or minus standard deviation. Units with weights less
than or greater than ounces will be classified as defects. What is
the probability of a defect (to 4 decimals)? In a production run of...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of ounces.
a. The process standard deviation is , and the
process control is set at plus or minus standard
deviation . Units with weights less than or greater
than ounces will be classified as defects. What is the
probability of a defect (to 4 decimals)?
In a production run of parts, how many...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of 11 ounces. Use Table 1 in Appendix B.
a. The process standard deviation is 0.1, and the process
control is set at plus or minus 2 standard deviations. Units with
weights less than 10.8 or greater than 11.2 ounces will be
classified as defects. What is the probability...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the
probability of defects and the number of defects expected in a
production process. Assume a production process produces items with
a mean weight of 10 ounces.
(a)
The process standard deviation is 0.21, and the process control
is set at plus or minus one standard deviation. Units with weights
less than 9.79 or greater than 10.21 ounces will be classified as
defects. (Round your answer to the nearest integer.)
Calculate the probability...
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