Question

If we have a random variable T distributed according to exponential distribution with mean 1.9 hours....

If we have a random variable T distributed according to exponential distribution with mean 1.9 hours. What is the probability that T will be greater than 69 minutes?

Homework Answers

Answer #1

T follows exponential distribution

Given : mean = 1.9 hours

So T ~Exp(1/1.9)

We need to find P(T>69)

First we need to convert 69 minutes in to hours.

69 minutes= 1.15 hours

Therefore the required probability is P(T>1.15)

The distribution function of the exponential distribution is

Thereforet the probability that T will be greater than 69 minutes is 0.5459

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
Q1-What should be the value c so that the function f(x) = 1/c * (x2 +...
Q1-What should be the value c so that the function f(x) = 1/c * (x2 + 3.3), for x = 0, 1, 2, 3  can serve as a probability distribution of the discrete random variable X? Q2-If we have a random variable T distributed according to exponential distribution with mean 1.3 hours. What is the probability that T will be greater than 46 minutes?
1. A continuous random variable is normally distributed. The probability that a value in the distribution...
1. A continuous random variable is normally distributed. The probability that a value in the distribution is greater than 47 is 0.4004. Find the probability that a value in the distribution is less than 47. 2. A continuous random variable is normally distributed. The probability that a value in the distribution is less than 125 is 0.5569. Find the probability that a value in the distribution is greater than 125. 3. A random variable is normally distributed with mean 89.7...
The failure time of a component is a random variable with an exponential distribution that has...
The failure time of a component is a random variable with an exponential distribution that has a mean of 777,6 hours. What is the probability that the component will still be working after 2014 hours ?
1. A random variable X has a normal distribution with a mean of 75 and a...
1. A random variable X has a normal distribution with a mean of 75 and a variance of 9. Calculate P(60 < X < 70.5). Round your answer to 4 decimal places. 2. A random variable X has a uniform distribution with a minimum of -50 and a maximum of -20. Calculate P(X > -25). Round your answer to 4 decimal places. 3.Which of the following statements about continuous random variables and continuous probability distributions is/are TRUE? I. The probability...
Suppose that the checkout time at a grocery store is an exponential random variable with mean...
Suppose that the checkout time at a grocery store is an exponential random variable with mean 3 minutes. Estimate the probability that a cheker will serve more than 82 customers during a 5 hour shift
Every day, patients arrive at the dentist’s office. If the Poisson distribution were applied to this...
Every day, patients arrive at the dentist’s office. If the Poisson distribution were applied to this process: a.) What would be an appropriate random variable? What would be the exponential-distribution counterpart to the random variable? b.)If the random discrete variable is Poisson distributed with λ = 10 patients per hour, and the corresponding exponential distribution has x = minutes until the next arrival, identify the mean of x and determine the following: 1. P(x less than or equal to 6)...
Question7: The lifetime (hours) of an electronic device is a random variable with the exponential probability...
Question7: The lifetime (hours) of an electronic device is a random variable with the exponential probability density function: f (x) = 1/50 e^(-x/50) for x≥ 0 what is the mean lifetime of the device? what is the probability that the device fails in the first 25 hours of operation? what is the probability that the device operates 100 or more hours before failure?
Question7: The lifetime (hours) of an electronic device is a random variable with the exponential probability...
Question7: The lifetime (hours) of an electronic device is a random variable with the exponential probability density function: f (x) = 1/50 e^(-x/50) for x≥ 0 a) what is the mean lifetime of the device? b) what is the probability that the device fails in the first 25 hours of operation? c) what is the probability that the device operates 100 or more hours before failure?
The exponential distribution Consider the random variable X that follows an exponential distribution, with μ =...
The exponential distribution Consider the random variable X that follows an exponential distribution, with μ = 40. The standard deviation of X is σ = a. 40 b.0.0006 c. 6.321 d. 0.0250 . The parameter of the exponential distribution of X is λ = a.40 b. 0.0250 b. 6.321 d. 0.0006 . What is the probability that X is less than 27? P(X < 27) = 0.2212 P(X < 27) = 0.5034 P(X < 27) = 0.4908 P(X < 27)...
Suppose we have 30 exponential random variables with mean 10. Find the probability that the sum...
Suppose we have 30 exponential random variables with mean 10. Find the probability that the sum of the random variables is larger than 12. Find also the probability that the average value of all those 30 random variables is larger than 12. Then find the probability that one of the random variables is larger than 12. Compare these probabilities.