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6. Assume that the lifetime of a light bulb is 5X years where X is a...
The lifetime T , in years, of the light bulb you just purchased satisfies P(T > t) = e^(−t/4) for all t ≥ 0. Suppose the bulb has lasted more than x years, where x ≥ 0. Given this information, what’s the conditional probability that it will last at most x + 1 years? Does your answer depend on the value of x?
The lifespan of a light bulb manufactured by a certain company is measured by a random variable X with the following probability density function, f (x) = { 0.02e−0.02x x > 0 0 otherwise where x denotes the life, in hours, of a randomly chosen bulb. What is the probability that the lifespan of the bulb is between 30 and 80 hours? (Round your answer to 4 decimal places.)
Two light bulbs, have exponential lifetime where expected lifetime for bulb A is 500 hours and expected lifetime for bulb B is 200 hours. a) What is the expected time until bulb A or bulb B malfunctions ? b) What is the probability that bulb A malfunctions before bulb B ?
2. Light bulbs are known to have an average lifetime of 2,000 hours. Suppose we model the lifetime of a light bulb by the following probability density function with (yet unknown) parameter c: p(t) = 1-e-t/c when t20 and p(t) = 0 otherwise. (a) Determine the value of the parameter c so that the probability density function has mean 2,000 hours. (b) Determine the probability a lightbulb fails before 1,500 hours. (C) Suppose the lightbulb has already been on for...
5. A light bulb has a lifetime that is exponentially distributed with rate parameter λ-5. Let L be a random variable denoting the sum of the lifetimes of 50 such bulbs. Assume that the bulbs are independent. (a) Compute E[L] and Var(L). b) Use the Central Limit Theorem to approximate P(8 < L < 12 ( ). (c) Use the Central Limit Theorem to find an interval (a,b), centered at ELLI, such that Pa KL b) 0.95. That is, your...
x 20 The lifetime, in years, of a certain type of pump is a random variable with probability density function 3 (x+1)+ 0 True (Note: “True" means “Otherwise” or “Elsewere") 1) What is the probability that the pump lasts more than 3 years? 2) What is the probability that the pump lasts between 1 and 2 years? 3) Find the mean lifetime. 4) Find the variance of the lifetime. 5) Find the cumulative distribution function of the lifetime. 6) Find...
The lifetime of a certain brand of electric light bulb is known to have a standard deviation of 49 hours. Suppose that a random sample of 90 bulbs of this brand has a mean lifetime of 500 hours. Find a 90% confidence interval for the true mean lifetime of all light bulbs of this brand. Then complete the table below. Carry your intermediate computations to at least three decimal places. Round your answers to one decimal place. What is the...
Question 2 The average lifetime of a light bulb is 3,000 hours with a standard deviation of 696 hours A simple random sample of 36 bulbs is taken. a. What is the probability that the average life in the sample will be greater than 3,219 hours? What is the probability that the average life in the sample will be less than 3,180 hours? c. What is the probability that the average life in the sample will be between 2,670 and...
The lifetime, in years, of a certain type of pump is a random variable with probability density function x 20 (x+1) 0 True (Note: "True" means "Otherwise" or "Elsewere") 1) What is the probability that the pump lasts more than 3 years? 2) What is the probability that the pump lasts between 1 and 2 years? 3) Find the mean lifetime. 4) Find the variance of the lifetime. 5) Find the cumulative distribution function of the lifetime. 6) Find the...
Suppose the manufacturer claims that the mean lifetime of a light bulb is more than 10,000 hours. In a sample of 30 light bulbs, it was found that they only last 9,900 hours on average. Assume the population standard deviation is 120 hours. At 0.05 significance level, can we reject the claim by the manufacturer? Select one: a. We reject the claim b. We accept the claim