Question

The lifetime of a bird can be modeled as a Weibull distribution with a=0.9. a) If...

The lifetime of a bird can be modeled as a Weibull distribution with a=0.9.

a) If the probability that a bird lives longer than 10 years is 0.4, find the value of the parameter λ?

b) What is the time to which 80% of the birds live?

Homework Answers

Answer #1

a)

Let X be the lifetime of a bird.

Probability that a bird lives longer than 10 years is 0.4.

=> P(X > 10) = 0.4

=> exp(-(x / )a) = 0.4

=> exp(-(10 / )0.9) = 0.4

=> -(10 / )0.9 = log(0.4)

=> -(10 / )0.9 = -0.9163

=> 10 / = 0.91631/0.9

=> 10 / = 0.9074

=> = 10 / 0.9074 = 11.02

b)

Let t be time to which 80% of the birds live. Then,

P(X t) = 0.8

=> P(X >  t) = 1 - 0.8 = 0.2

=>  exp(-(x / )a) = 0.2

=> exp(-(x / 11.02)0.9) = 0.2

=> -(x / 11.02)0.9   = log(0.2)

=> -(x / 11.02)0.9   = -1.6094

=>  x / 11.02 = 1.60941/0.9

=> x / 11.02 = 1.6968

=> x = 11.02 * 1.6968 = 18.6987

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The lifetime of bacteria follows the Weibull distribution. The probability that the bacteria lives for more...
The lifetime of bacteria follows the Weibull distribution. The probability that the bacteria lives for more than 10 hours is 0.76 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? Please report your answer in 3 decimal places.
The type of battery in Jim's laptop has a lifetime (in years) which follows a Weibull...
The type of battery in Jim's laptop has a lifetime (in years) which follows a Weibull distribution with parameters α = 2 and β = 4 . The type of battery in Jim's tablet has a lifetime (in years) which follows an exponential distribution with parameter λ = 1 / 4 . Find the probability that the lifetime of his laptop battery is less than 2.2 years and that the lifetime of his tablet battery is less than 3.1 years.
Suppose that the lifetime of a component (in hours) is modeled with a Weibull distribution with...
Suppose that the lifetime of a component (in hours) is modeled with a Weibull distribution with β = 2 and δ = 4000. Determine the following in parts (a) and (b): P(X > 5000) P(X > 8000|X > 3000) Comment on the probabilities in the previous parts compared to the results for an exponential distribution.
A particular circulation pump has a Weibull lifetime distribution with a rate parameter λ = 0.064...
A particular circulation pump has a Weibull lifetime distribution with a rate parameter λ = 0.064 per 1000 hours and a shape parameter β = 1.23. What is the probability that this pump will run for at least 1300 hours? Express your answer rounded to three decimal places.
The lifetime of a car follows the Weibull distribution with a failure rate of 0.1 per...
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?
Suppose the lifetime, in years, of a motherboard is modeled by a Gamma distribution with parameters...
Suppose the lifetime, in years, of a motherboard is modeled by a Gamma distribution with parameters α=80α=80 and λ=4λ=4. Use the Central Limit Theorem to approximate the probability that the motherboard of a new computer will last for at least the next 15 years.
Q1 a) The amount of time spouses shop for anniversary cards can be modeled by an...
Q1 a) The amount of time spouses shop for anniversary cards can be modeled by an exponential distribution with the average amount of time equal to 6 minutes. Write the distribution along with the appropriate parameter, state the probability density function, and graph the distribution. b) The number of days ahead travelers purchase their airline tickets can be modeled by an exponential distribution with the average amount of time equal to 10 days. Find the probability that a traveler will...
Suppose that the reaction time in seconds of a person can be modeled by a lognormal...
Suppose that the reaction time in seconds of a person can be modeled by a lognormal distribution with parameter values, = -0.25 and = 0.2. a) Find the probability that the reaction time is less than 0.6 seconds b) Find the reaction time that is exceeded by 94% of the population.
Suppose a car radiator useful lifetime has Weibull distribution with β = 1.5 and the mean...
Suppose a car radiator useful lifetime has Weibull distribution with β = 1.5 and the mean lifetime of 150,000 miles. John has just bought a used car with 180,000 miles and original radiator which is still good. What is the probability that it’s going to last at least 20,000 miles more before needing replacement?
3. Suppose a car radiator useful lifetime has Weibull distribution with β = 1.5 and the...
3. Suppose a car radiator useful lifetime has Weibull distribution with β = 1.5 and the mean lifetime of 150,000 miles. John has just bought a used car with 180,000 miles and original radiator which is still good. What is the probability that it’s going to last at least 20,000 miles more before needing replacement?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT