The lifetime of a drill bit in a mechanical operation, in hours, has a Weibull distribution with α = 0.5 and β = 2.2. Calculate the probability that the bit will fail after 2.8 hours
Answer using 4 decimals.
The lifetime of a drill bit in a mechanical operation, in hours, has a Weibull distribution...
The lifetime X (in hundreds of hours) of a certain type of vacuum tube has a Weibull distribution with parameters α = 2 and β = 3. Compute the following.
The lifetime X (in hundreds of hours) of a certain type of vacuum tube has a Weibull distribution with parameters α = 2 and β = 3.Compute the following. (Round your answers to three decimal places.)
Suppose that the lifetime of a component (in hours), X, is modeled with a Weibull distribution with B 0.5 and = 3400. Determine the following in parts (a) and (b) Round your answers to three decimal places (e.g. 98.765) a) P(X> 3500) = i b) P(X> 6000|X > 3000) i c) Suppose that X has an exponential distribution with mean equal to 3400. Determine the following probability Round your answer to three decimal places (e.g. 98.765) P(X 6000X > 3000)...
Suppose that the lifetime of a component (in hours), X is modelled with a Weibull distribution with a = 0.6. and λ = 1/4000. Determine the value for P(X > 5,961 | X > 3500) i.e Probability of X > 5,961 given tha X is greater than 3500. Please enter the answer to 3 decimal places.
The lifetime, in years, of a gearbox operating continuously has a Weibull distribution with λ = 0.1 and k = 2. The purchase price of the gearbox is $1000. The manufacturer warranties the gearbox of (a) refunding the entire purchase price if the gearbox fails during its first year of operation, and (b) refunding 40% of the purchase price if the gearbox fails during its second year of operation. What is the expected refund amount per gearbox?
Suppose that X has a Weibull distribution with B = 0.5 and 8 = 100 hours. Determine the following. Round the answers to 3 decimal places. (a) P(X < 10000) = (b) P(X > 5000) =
The lifetime of a device (in hours) has the Gam(4,0.01) distribution. a) Find the probability that the device will last more than 300 hurs. b) what is the 90th percentile of this distribution?
(a) A lamp has two bulbs of a type with an average lifetime of 1300 hours. Assuming that we can model the probability of failure of these bulbs by an exponential density function with mean u = 1300, find the probability that both of the lamp's bulbs fail within 1500 hours. (Round your answer to four decimal places.) (b) Another lamp has just one bulb of the same type as in part (a). If one bulb burns out and is replaced...
1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. Let β > 0, δ > 0. Consider the probability density function x>0 zero otherwise. Find the probability distribution of W-X b) Determine the probability distribution of W by finding the p.d.f. of W, /w(w). using the change-of-variable technique. Find the pd.f. of W. w(w)d ii) What is the name of the probability distribution of W? What are its parameters?
4. A lifetime X of an animal (counted in hours) has a Poisson distribution with parameter 4. The animal hunts during some part of its life, which is described by the following Bernoulli distribution: if X = k, then the ())'(£)*=0,1,2,. . . ,k. number Y of hours spent on hunting has the distribution (3 p.) Find the distribution of Y (7 p.) Suppose that the animal hunted for exactly 12 hours during its life; what is the most probable...