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gajohnson
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Homework Statement
Let T be an exponential random variable with parameter λ; let W be a random
variable independent of T , which is ±1 with probability 1/2 each; and let X =
WT. Show that the density of X is:
[itex]f_{x}(x)=(\lambda/2)e^{-(\lambda)\left|x\right|}[/itex]
Homework Equations
Density function for exponential distribution:
[itex](\lambda)e^{-(\lambda)x}[/itex]
and the CDF for the exponential distribution:
[itex]1-e^{-(\lambda)x}[/itex]
The Attempt at a Solution
Well I wanted to break the equation into:
[itex]P[X≤x, W=1](1/2) + P[X≤x, W=-1](1/2)[/itex]
and then differentiate the result to find the density function for X.
Will this work? If not, is there another approach someone can suggest. If so, a little help with the computation would be helpful because I've been having a tough time getting anywhere with it (I know it shouldn't be hard, that's why I'm stumped). Thanks!
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