Calculating E[x] for f(x)=e^-2|x| distribution in the reals (x e R)

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I want to calculate E[x] of the following continuous distribution having density: f(x)=e^-2|x|
for x in the reals (x e R)

I did the calculation with integral bounds infinity and minus infinity, are these the right bounds to use since we are only told x e R?
I got 0 as the answer, can someone tell me if they get the same?
 
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Hi HappyN! :smile:

I'm guessing that you didn't adjust the integral for negative x to take account of the |x| :wink:

(it usually makes the integral negative if you forget)
 
do you mean my bounds are wrong?
i'm not quite sure of what you mean by adjusting the integral for negative x?
 
Show us your full calculations. :smile:
 
To calculate E[X] I did: ∫xf(x) dx (integral bounds between minus ∞ and ∞ - sorry don't know how to type it properly!)
using integration by parts, i got:
E[x]=[-x/2 e^-2|x|] + [1/4 e^-2|x|] (bounds evaluated between -∞ and ∞)
=(-∞/2 e^-2|∞|) - (∞/2 e^-2|∞|) + (-1/4 e^-2|∞| + 1/4 e^-2|∞|)
=-∞e^-2|∞|
which is 0?
therefore E[x]=0?
 
It should be obvious by symmetry that E[x]= 0.
 
Hi HappyN! :smile:

(just got up :zzz: …)
HappyN said:
E[x]=[-x/2 e^-2|x|] + [1/4 e^-2|x|] (bounds evaluated between -∞ and ∞)

(try using the X2 icon just above the Reply box :wink:)

if x < 0, then eg d/dx e-2|x| = d|x|/dx d/d|x| e-2|x|

= (-1) -2e-2|x|

the d|x|/dx makes everything negative for negative x ! :smile:
 
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