The lifetime of a car follows the Weibull distribution with a failure rate of 0.1 per year and parameter a = 0.5. What is the time to which 25% of the cars will last?
The lifetime of a car follows the Weibull distribution with a failure rate of 0.1 per...
Question 4 Lifetime of a certain component can be represented by 2 parameter Weibull distribution with a-12000 and p Find the mean time to failure and median life of this component.
The lifetime of a brake can be modeled as a Weibull Distribution with a ƛ of 1 per 50000 miles. The probability that a brake lasts longer than 30000 miles is 0.8. Find the value of parameter a
The lifetime of bacteria follows the Weibull distribution. The probability that the bacteria lives for more than 10 hours is 0.7 and that it lives more than 20 hours is 0.3. The probability that among 300 bacteria more than 200 live longer than 10 hours can be computed as P(Z>a). What is the value of a?
Consider a random variable X that has the Weibull distribution, and suppose that the parameter a is equal to 0.5 and the parameter 1 is equal to 4. True or False: X has a increasing failure rate.
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?
[WEIBULL DISTRIBUTION COMPARISON] Suppose a phone manufacturer has two models, aPhone and bPhone, with both having a Mean time to Failure (MTTF) following a Weibull distribution with scale parameter beta =1 and respective shape parameters alpha 0.5 and 5 respectively. (aPhone alpha=0.5 and bPhone alpha=1) Which phone model is more favorable when not taking into account factors of cost and availability?
The lifetime of a product can be modeled with a Weibull distribution with δ = 22 and β = 3. a. What is the expected lifetime of the product? b. What is the standard deviation of the product? c. The product costs $15,543 dollars to produce, but is expected to save $1,115 in costs for each year that it functions as advertised. Considering the initial cost, what is the expected savings in costs for this product? d. What is the...
*Suppose a device has a constant failure rate of r(t)-A, the PDF of its lifetime follows an exponential 1. determine the reliability function, R(t) 2. determine the device's mean-time-to-fail (MTTF)
*Suppose a device has a constant failure rate of r(t)-A, the PDF of its lifetime follows an exponential 1. determine the reliability function, R(t) 2. determine the device's mean-time-to-fail (MTTF)
6) The lifetime battery life of a laptop can be modeled as a Weibull variable with parameter λ = 1 per 10 years and parameter a-1.35 a) What is the probability that a laptop will last between 5 and 10 years? b) A merchant sold 40 laptops on a day with a guarantee that any laptop lasting less than 5 years will be replaced by another laptop with a 28% discount. What is the probability that the merchant has to...
The lifetime of a product can be modeled with a Weibull distribution with δ = 22 and β = 3. a. What is the expected lifetime of the product? b. What is the standard deviation of the product? c. The product costs $15,543 dollars to produce, but is expected to save $1,115 in costs for each year that it functions as advertised. Considering the initial cost, what is the expected savings in costs for this product? d. What is the...