Question #234810

The life of an electronic device is known to have the exponential distribution with parameter λ = 1 1000 . (i) What is the probability that the device lasts more than 1000 hours? [2 marks] (ii) What is the probability it will last less than 1200 hours? [2 marks] (iii) Find the mean and variance of the life of the electronic device. 


1
Expert's answer
2021-09-09T04:54:14-0400

λ\lambda is given as 1 100, which is not clear whether it is 11,000 or 1,000. I will use 1,000.

f(x)=λeλx,x>0f(x) = \lambda e^{-\lambda x}, x>0

λ=1000\lambda=1000


i. P(x)>1000P(x)>1000

P(x)<1000=10001000e1000xdxP(x)<1000=\int_{1000}^{\infin}1000 e^{-1000 x}dx

=e1000x1000=-e^{-1000x}|_{1000}^{\infin}

=00=0=0-0=0


ii P(x)<1200P(x)<1200

P(x)<1200=012001000e1000xdxP(x)<1200=\int_{0}^{1200}1000 e^{-1000 x}dx

=e1000x01200=-e^{-1000x}|_{0}^{1200}

=01=10--1=1


iii Mean and variance

The mean and variance of an exponential distribution is λ\lambda .

Thus the mean of the distribution is 1000 and variance is 1000.


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