Question

Suppose that the lifetime (in weeks) of a transistor has a gamma distribution with parameters α...

Suppose that the lifetime (in weeks) of a transistor has a gamma distribution with parameters
α = 4, β = 6. What is the probability that a random transistor will last longer than 30 weeks

Homework Answers

Answer #1

Probability Density Function of X is given by:

,

                                      for x > 0

Given:

= 4

= 6

Substituting, we get:

So,

between limits 30 to .

Applying limits, we get:

So,

Answer is:

6.6362 X 10-73

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
Suppose that the lifetime (in weeks) of a transistor has a gamma distribution with parameters α...
Suppose that the lifetime (in weeks) of a transistor has a gamma distribution with parameters α = 4, β = 6. What is the probability that a random transistor will last longer than 30 weeks? (10 pts.) Please need correct answer for a test.
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.
Suppose that when a transistor of a certain type is subjected to an accelerated life test,...
Suppose that when a transistor of a certain type is subjected to an accelerated life test, the lifetime X (in weeks) has a gamma distribution with mean 40 and variance 320. a) What is the probability that a transistor will last between 1 and 40 weeks? b) What is the probability that a transistor will last at most 40 weeks?
Suppose that when a transistor of a certain type is subjected to an accelerated life test,...
Suppose that when a transistor of a certain type is subjected to an accelerated life test, the lifetime X (in weeks) has a gamma distribution with mean 20 weeks and standard deviation 10 weeks. (a) What is the probability that a transistor will last between 10 and 20 weeks? (Round your answer to three decimal places.) (b) What is the probability that a transistor will last at most 20 weeks? (Round your answer to three decimal places.) Is the median...
Suppose that the average lifetime of a transistor is 100 working hours and that the lifetime...
Suppose that the average lifetime of a transistor is 100 working hours and that the lifetime distribution is exponential. (a) Estimate the probability that the transistor will work at least 30 hours. (b) Given that the transistor has functioned for 30 hours, what is the chance that it fails in the next 25 hours. (c) Suppose that two transistors, one in active, the other in reserve (if the primary one malfunctions, the second will be used at once). What is...
Suppose that when a transistor of a certain type is subjected to an accelerated life test,...
Suppose that when a transistor of a certain type is subjected to an accelerated life test, the lifetime X (in weeks) has a gamma distribution with mean 28 weeks and standard deviation 14 weeks. (a) What is the probability that a transistor will last between 14 and 28 weeks? (Round your answer to three decimal places.) (b) What is the probability that a transistor will last at most 28 weeks? (Round your answer to three decimal places.) (c) What is...
Let X be a gamma random variable with parameters α > 0 and β > 0....
Let X be a gamma random variable with parameters α > 0 and β > 0. Find the probability density function of the random variable Y = 3X − 1 with its support.
Q4. Find the mean and variance for the following distributions 1-Gamma distribution with α=2 and β=...
Q4. Find the mean and variance for the following distributions 1-Gamma distribution with α=2 and β= 3 2-Exponential distribution with β= 30 3-Chi squire distribution with v= 30 4-Beta distribution with α=2 and β= 3
Suppose that Y has a gamma distribution with α = n/2 for some positive integer n...
Suppose that Y has a gamma distribution with α = n/2 for some positive integer n and β equal to some specified value. Use the method of moment-generating functions to show that W = 2Y/β has a χ2 distribution with n degrees of freedom. (Please show all work, proof used, and logic to justify the answer. Thank, you)
The lifetime of a part follows a gamma distribution with a mean lifetime of 2 years...
The lifetime of a part follows a gamma distribution with a mean lifetime of 2 years and a variance of 5 years squared. what is the probability that a random part dies within the first 3 years?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT