There is a defect in a length of fabric approximately every 5 m. What is the probability that there are 4 or more defects in a fabric of length 30m?
There is a defect in a length of fabric approximately every 5 m. What is the...
According to the manufacturer, an optical fiber has 7 defects every 3.5 kilometers. Calculate the probability that you will find minus 1 defect in 350 meters. From the previous problem, imagine that you did not find any flaws in the first 250 meters. Calculate how many more meters must be examined in order for the probability of finding the first defect is 90%.
4. (a) In a fibre optic cable, it is known that there are on a probability that () There are exactly zero defects in a 50 m length of cable. (ii) There are three or fewer defects in a 100 m length of cable. verage 1.5 defects per 50 m. What is the 8 marks] (b) 6 different types of defect are found in the cables. The chance of each defect occurring is equally likely. 50 components are selected at...
The defect length of a corrosion defect in a pressurized steel pipe is normally distributed with mean value 28 mm and standard deviation 7.2 mm. (a) What the probability that defect length is at most 20 mm? Less than 20 mm? (Round your answers to four decimal places.) at mast 20mm less than 20mm (b) What is the 75th percentile of the defect length distribution-that is, the value that separates the smallest 75% of all lengths from the largest 25%?...
Pupkewitz MadgeTech reported that 25 steel pipe in every 200 pipes produced results in a defect. What is the estimated binomial probability that more than 500 pipes out of 2500 results in a defect? (Show all your work and draw the distribution in)
Suppose that the number of defects in the production of a length of copper wire is modeled by a Poisson process with an average of 8 defects per 500 feet of wire. a. What is the probability that there will be no defects in 50 feet of wire? (.4493) b. What is the probability that the first defect occurs between the 25th and 50th foot of wire produced? (.2210) c. What is the probability that the 6th defect comes before...
Refreshing questions What is the definition of material defect?? 1. 2. Explain the effect of defects on following: a) Microstructure b) Material properties 3. On what basis, defects can be classified? 4. List and show difference between the types of point defects? 5. Which type(s) of point defect distort the unit cell? 6. Which type(s) of point defects that does not affect the unit cell arrangement? 7. What is the effect of defects on material density? 8. List three types...
An automobile manufacturer finds that 1 in every 2000 automobiles produced has a particular manufacturing defect. (a) Use a binomial distribution to find the probability of finding 4 cars with the defect in a random sample of 5000 cars (b) The Poisson distribution can be used to approximate the binomial distribution for large values of n and small values of p. Repeat (a) using a Poisson distribution and compare the results (a) The probability using the binomial distribution is (Round...
defect An automobile manufacturer finds that 1 in every 2000 automobiles produced has a particular manufacturing efect in a random sample of 4500 cars (a) Use a binomial distribution to find the probability of finding 4 cars with the d b) The Poisson distrbution can be used to approximate the binomial distribution for large values of n and small values of p. Repeat (a) using a Poisson distribution and compare (a) The probablity using the binomial distribution is Round to...
Reserve Problems Chapter 5 Section 5 Problem 4 Four electronic ovens that were dropped during shipment are Inspeced and classified as containing either a major, a minor, or no defect. In the past, 60% of dropped ovens had a major defect, 30% had a minor defect, and 10% had no defect. Assume that the defects on the four ovens occur independently () What is the probability that, of the four dropped ovens, two have a major defect and two have...
A drugstore considers a wait of more than 5 minutes to be a defect. Each week 100 customers are randomly selected and timed at the checkout line. The numbers of defects for 20 consecutive weeks are given below. 4 4 5 5 5 5 5 6 6 6 6 12 6 6 6 7 6 7 8 7 Find the correct lower control limit