A variable x is said to have an exponential distribution wit

A variable x is said to have an exponential distribution with parameter lambda > 0 if the density function for x is [Note: this distribution is the same as in lecture, where lambda is a parameter and lambda = 1/mu.] Find the mean of the exponential distribution in terms of lambda. [i.e. Find ] The variance of a continuous distribution can be found by using Using the mean found in part(a), find the variance of the exponential distribution.

Solution

a) = xf(x) dx

= -00*dx + 0 x*e-xdx

= 0 x*e-xdx

now using integration by parts

x*e-xdx = x*e-xdx- dx/dx*(e-xdx)dx

= -(x/)e-x - (-1/)*e-xdx

= -(x/)e-x - 1/2 *e-x

So

0 x*e-xdx = *|-(x/)e-x - 1/2 *e-x|0

= -*(-1/2) = 1/

i.e. = 1/

b) 2 = (x-)2f(x)dx

= -00*dx + 0 (x-)2*e-xdx

= 0 (x)2*e-xdx + 2**0 e-xdx - 2*0 x*e-xdx

now by integration by parts

(x)2*e-xdx = x2*-1/*e-x - 2x*-1/*e-x

= -x2*1/*e-x + 2/*x*e-xdx

So

0 (x)2*e-xdx + 2**0 e-xdx - 2*0 x*e-xdx

= *|-x2*1/*e-x + 2/*x*e-xdx|0 - 2*(0-1) - 2*1/

= -*(2/*-1/2) + 1/2 - 2/2

= 1/2

So

  2 = 1/2 = 2

 A variable x is said to have an exponential distribution with parameter lambda > 0 if the density function for x is [Note: this distribution is the same as

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