Question

In: Statistics and Probability

Exercise 31.1. Rope checks. In a certain manufacturing process, an automated quality control computer checks 10...

Exercise 31.1. Rope checks. In a certain manufacturing process, an automated quality control computer checks 10 yards of rope at a time. If no defects are detected in that 10-yard section, that portion of the rope is passed on. However, if there is a defect detected, a person will have to check the rope over more carefully to determine where (measured from the left side in yards) the defect is. If exactly 1 defect is detected in a rope section, we would like to find the probabilities for its location.

a. Why is this a Continuous Uniform problem?

b. What does X represent in this scenario?

c. What are the parameters in this scenario?

d. What is the expected value for the location of the defect?

e. What is the standard deviation?

f. What is the probability density function? Write it in function notation.

g. What is the cumulative distribution function? Write it in function notation.

h. Find P(X > 8). i. Find P(2.3 ≤ X ≤ 5.2) j. Find P(X < 2|X < 5)

i. Find the probability that a defect is within 1 standard deviation of the expected value. (Label this k.)

Solutions

Expert Solution

Answer:-

Given that:-

Exercise 31.1. Rope checks. In a certain manufacturing process, an automated quality control computer checks 10 yards of rope at a time. If no defects are detected in that 10-yard section, that portion of the rope is passed on. However, if there is a defect detected, a person will have to check the rope over more carefully to determine where (measured from the left side in yards) the defect is. If exactly 1 defect is detected in a rope section, we would like to find the probabilities for its location.Here X is the location at which defect is detected in a rope section of 10 yards

a. Why is this a Continuous Uniform problem?

Here

we know that it defects is detected in a rope section of 10 yards ,then location of defect is any where in a rope section of 10 yards All given 10 yards are have same chance is found defect .

b. What does X represent in this scenario?

X: Here X is the location at which defect is detected in a rope section of 10 yards

c. What are the parameters in this scenario?

Here i.e., a = 0 & b = 10

d. What is the expected value for the location of the defect?

Expected value of the location of the defect

e. What is the standard deviation?

standard Deviation -(SD):-

f. What is the probability density function? Write it in function notation.?

Probability density function:-

g. What is the cumulative distribution function? Write it in function notation.?

Cumlative Distribution function:-

h. Find P(X > 8). i. Find P(2.3 ≤ X ≤ 5.2) j. Find P(X < 2|X < 5)?

i. Find the probability that a defect is within 1 standard deviation of the expected value. (Label this k.)?

i.

   (using CDF function)

  

j.

   (Because using CDF function)


Related Solutions

The following exercise pertains to the Control Quality process. a.   What does Control Quality monitor and...
The following exercise pertains to the Control Quality process. a.   What does Control Quality monitor and what does it compare the results to? b.   Describe inspection. c.   How do inspection and prevention differ? d.   What is attribute conformity? What is the resulting decision from attribute measurement results? e.   Describe the purpose of control charts. What are they used for primarily? f.    What are the common causes of variance?
A manufacturing company regularly conducts quality control checks at specified periods on the products it manufactures.​...
A manufacturing company regularly conducts quality control checks at specified periods on the products it manufactures.​ Historically, the failure rate for LED light bulbs that the company manufactures is 18​%. Suppose a random sample of 10 LED light bulbs is selected. Complete parts​ (a) through​ (d) below. a. What is the probability that none of the LED light bulbs are​ defective? The probability that none of the LED light bulbs are defective is . 1374. ​(Type an integer or a...
The quality control manager at a computer manufacturing company believes that the mean life of a...
The quality control manager at a computer manufacturing company believes that the mean life of a computer is 97 months, with a variance of 81. If he is correct, what is the probability that the mean of a sample of 50 computers would differ from the population mean by more than 1.35 months? Round your answer to four decimal places.
The quality control manager at a computer manufacturing company believes that the mean life of a...
The quality control manager at a computer manufacturing company believes that the mean life of a computer is 109109 months, with a variance of 100100. If he is correct, what is the probability that the mean of a sample of 7171 computers would differ from the population mean by less than 3.373.37 months? Round your answer to four decimal places.
A manufacturing company regularly conducts quality control checks at specified periods on the products it manufactures.​Historically,the...
A manufacturing company regularly conducts quality control checks at specified periods on the products it manufactures.​Historically,the failure rate for LED light bulbs that the company manufactures is 14 ​%. Suppose a random sample of 10 LED light bulbs is selected. Complete parts​ (a) through​ (d) below. b.What is the probability that exactly one of the LED light bulbs is ​defective? The probability that exactly one of the LED light bulbs is defective is _____ ​(Typean integer or a decimal. Round...
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data...
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle. Sample x R 1 95.72 1.0 2 95.24 0.9 3 95.18 0.9 4 95.42 0.4 5 95.46 0.5 6 95.32 1.1 7 95.40 1.0 8 95.44 0.3 9 95.08 0.2 10 95.50 0.6 11 95.80 0.6 12 95.22 0.2 13 95.60 1.3 14 95.22 0.5 15 95.04 0.8 16...
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data...
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle. Sample x R 1 95.72 1.0 2 95.24 0.9 3 95.18 0.9 4 95.46 0.4 5 95.46 0.5 6 95.32 1.1 7 95.40 0.9 8 95.44 0.3 9 95.08 0.2 10 95.50 0.6 11 95.80 0.6 12 95.22 0.2 13 95.56 1.3 14 95.22 0.6 15 95.04 0.8 16...
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data...
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle. Sample x R 1 95.72 1.0 2 95.24 0.9 3 95.18 0.7 4 95.42 0.4 5 95.46 0.5 6 95.32 1.1 7 95.40 0.9 8 95.44 0.3 9 95.08 0.2 10 95.50 0.6 11 95.80 0.6 12 95.22 0.2 13 95.60 1.3 14 95.22 0.4 15 95.04 0.8 16...
The following are quality control data for a manufacturing process at Bensdork Chemical Company. The data...
The following are quality control data for a manufacturing process at Bensdork Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle. Sample x R 1 95.72 1.0 2 95.24 0.9 3 95.18 0.8 4 95.46 0.4 5 95.46 0.5 6 95.32 1.1 7 95.40 0.8 8 95.44 0.3 9 95.08 0.2 10 95.50 0.6 11 95.80 0.6 12 95.22 0.2 13 95.60 1.3 14 95.22 0.4 15 95.04 0.8 16...
The following are quality control data for a manufacturing process at Kensprt Chemical Company. The data...
The following are quality control data for a manufacturing process at Kensprt Chemical Company. The data show the temperature in degrees centigrade at five points in time during the manufacturing cycle. The company is interested in using quality control charts in monitoring the temperature of its manufacturing cycle. Construct an X bar and R chart and indicate what its tells you about the process. Sample      X bar      R      1            95.72    1.0      2            95.24      .9      3            95.38      .8...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT