Sum of independent exponential distributions with different parameters

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To calculate the probability that the sum of two independent exponential distributions with means of 10 and 20 exceeds 30, one must first determine the probability density function (pdf) of the sum, X + Y. The approach involves using the standard formulas for the density of independent random variables and integrating to find the cumulative distribution function (cdf). The discussion highlights the need to consider the relationship between the random variables and their respective distributions, particularly in the context of conditional probabilities. It is emphasized that the integration must account for the random nature of Y when calculating probabilities. Understanding the geometric representation of the condition in the xy-plane may also aid in visualizing the problem.
newbiewannabe
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Homework Statement


As the title indicates. I'm given two independent exponential distributions with means of 10 and 20. I need to calculate the probability that the sum of a point from each of the distributions is greater than 30.


Homework Equations


X is Exp(10)
Y is Exp(20)

f(x) = e^(-x/10) / 10
g(y) = e^(-x/20) / 20


The Attempt at a Solution



I think I need to find the distribution of X + Y and then integrate to find the cdf. I'm not sure how to go about that though.
 
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What is the probability that X lies between x and x+dx? Given that X lies in that range, what is the probability that X+Y < z (for small dx)?
 
For small dx isn't that just the pdf of x.

P(X+Y<z) = P(X<z-Y) = F(z-Y)
I don't know how that helps though, assuming I'm correct.
 
What is the probability that a<x a+da and b<y<b+db?

z=x+y is a new random variable. You need the probability density f(z). The probability that z>30 comes from the cumulated distribution function F(z).

ehild
 
newbiewannabe said:

Homework Statement


As the title indicates. I'm given two independent exponential distributions with means of 10 and 20. I need to calculate the probability that the sum of a point from each of the distributions is greater than 30.


Homework Equations


X is Exp(10)
Y is Exp(20)

f(x) = e^(-x/10) / 10
g(y) = e^(-x/20) / 20


The Attempt at a Solution



I think I need to find the distribution of X + Y and then integrate to find the cdf. I'm not sure how to go about that though.

Yes, you need to find the pdf of X+Y. Just apply standard formulas for the density of a sum of independent random variables, in terms of the individual densities. If it is not in your textbook you can find all that you need on-line. Google 'sum of independent random variables'.
 
newbiewannabe said:
For small dx isn't that just the pdf of x.
Almost, but dx must come into it.
P(X+Y<z) = P(X<z-Y) = F(z-Y)
I don't know how that helps though, assuming I'm correct.
Right idea, but you can't write F(z-Y) since Y is a random variable, not a number.
I did say "given that X lies between x and x+dx": FX+Y(z)|X=x = P(X+ Y<z | X=x) = P(Y<z-X | X=x) = FY(z-x).
So, put those two together to get the probability that X+Y<z & x < X < x+dx.
 
It also might help to consider the xy-plane. What region does the condition x+y<c represent in the plane?
 

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