ZuoTi.Pro
Question

Suppose that the time to failure (in hours) of hard drives in a personal computer can...

Suppose that the time to failure (in hours) of hard drives in a personal computer can be modelled by an exponential distribution with λ = 0.003.

Use Monte Carlo simulation, or otherwise, to approximate the following: Assume a computer now has 4 independent hard-drives and the failure of the computer occurs once all 4 hard drives have died. What is the mean life of the computer?

math   Statistics-And-Probability   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1

0 0
Add a comment
Know the answer?
Add Answer to:
Suppose that the time to failure (in hours) of hard drives in a personal computer can...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • QUESTION 6 The time to failure (in hours) of fans in a personal computer can be...

    QUESTION 6 The time to failure (in hours) of fans in a personal computer can be modeled by an exponential distribution with rate 0.0005. Round your answers to 4 decimal places. (a) What proportion of fans will last at least 10000 hours? (b) What proportion of fans will last at most 8000 hours? QUESTION 7 Given the probability density function f(x)=(0.02^9 x^8*e^(-0.02x))/8! for x>0 and f(x)=0 otherwise. Determine the mean and variance of the distribution. Round the answers to the...

  • The time to failure (in hours) of fans in a personal computer can be modeled by...

    The time to failure (in hours) of fans in a personal computer can be modeled by an exponential distribution with A= VUUS. Round your answers to 4 decimal places. (a) What proportion of fans will last at least 8000 hours? (b) What proportion of fans will last at most 7000 hours?

  • . Suppose the time until failure (in years) of a laptop computer follows an exponential distribution...

    . Suppose the time until failure (in years) of a laptop computer follows an exponential distribution with a mean life of 6 years. a) What is the median life of a laptop computer (in years)? b) What is the probability that a laptop computer will last more than 6 years?

  • 3. The time to failure (Y , measured in hours) of fans in a laptop computer...

    3. The time to failure (Y , measured in hours) of fans in a laptop computer is modeled using an exponential distribution with λ = 0.0002. (a) Graph the pdf of Y . Compute E(Y ) and var(Y ). Place an “×” on the pdf indicating where E(Y ) is. (b) What is the probability that a fan will fail before 6,000 hours? will survive at least 12,000 hours? (c) Only 1 percent of all fans’ lifetimes will exceed which...

  • The compressive strength of samples of cement can be modeled by a normal distribution with a mean of 6000 kilograms per...

    The compressive strength of samples of cement can be modeled by a normal distribution with a mean of 6000 kilograms per square centimeter and a standar deviation of 100 kilograms per square centimeter c) what strength is exceeded by 95% of the samples? The life of a semiconductor laser at a constant power is normally distributed with a mean of 7000 hours and a standar deviation of 600 hours a) what is the probability that a laser fails before 5000...

  • Question 3 (20 marks) iven a sample of time-to-failure (X), in hours, of a particular brand of we...

    Question 3 (20 marks) iven a sample of time-to-failure (X), in hours, of a particular brand of weaving machines: 100 250 720 465 910 2017 1600 1300 nypothesis that the failure time follows an exponential distribution with mean 1000 (hours). Conduct the Kolmogorov-Smirnov test, at 1% level of significance, for testing the [9 marks] the context of the validation process in simulation, write short notes on the "Input- [4 marks] output Transformation". (c) Consider a queueing system with interarrival rate...

  • The Binomial and Poisson Distributions Both the Binomial and Poisson Distributions deal with discrete data where...

    The Binomial and Poisson Distributions Both the Binomial and Poisson Distributions deal with discrete data where we are counting the number of occurrences of an event. However, they are very different distributions.  This problem will help you be able to recognize a random variable that belongs to the Binomial Distribution, the Poisson Distribution or neither. Characteristics of a Binomial Distribution Characteristics of a Poisson Distribution The Binomial random variable is the count of the number of success in n trials:   number of...

  • How can we assess whether a project is a success or a failure? This case presents...

    How can we assess whether a project is a success or a failure? This case presents two phases of a large business transformation project involving the implementation of an ERP system with the aim of creating an integrated company. The case illustrates some of the challenges associated with integration. It also presents the obstacles facing companies that undertake projects involving large information technology projects. Bombardier and Its Environment Joseph-Armand Bombardier was 15 years old when he built his first snowmobile...

  • Case: Enron: Questionable Accounting Leads to CollapseIntroductionOnce upon a time, there was a gleaming...

    Case: Enron: Questionable Accounting Leads to CollapseIntroductionOnce upon a time, there was a gleaming office tower in Houston, Texas. In front of that gleaming tower was a giant “E,” slowly revolving, flashing in the hot Texas sun. But in 2001, the Enron Corporation, which once ranked among the top Fortune 500 companies, would collapse under a mountain of debt that had been concealed through a complex scheme of off-balance-sheet partnerships. Forced to declare bankruptcy, the energy firm laid off 4,000...

  • CASE 20 Enron: Not Accounting for the Future* INTRODUCTION Once upon a time, there was a...

    CASE 20 Enron: Not Accounting for the Future* INTRODUCTION Once upon a time, there was a gleaming office tower in Houston, Texas. In front of that gleaming tower was a giant "E" slowly revolving, flashing in the hot Texas sun. But in 2001, the Enron Corporation, which once ranked among the top Fortune 500 companies, would collapse under a mountain of debt that had been concealed through a complex scheme of off-balance-sheet partnerships. Forced to declare bankruptcy, the energy firm...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT