Sum of independent exponential distributions with different parameters

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Homework Help Overview

The discussion revolves around calculating the probability that the sum of two independent exponential distributions, with means of 10 and 20, exceeds 30. The original poster expresses uncertainty about how to find the distribution of the sum and subsequently compute the cumulative distribution function (CDF).

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants explore the need to find the probability density function (pdf) of the sum of the two distributions. There are attempts to relate the problem to the cumulative distribution function and to express probabilities in terms of the individual distributions.

Discussion Status

Some participants provide guidance on applying standard formulas for the density of a sum of independent random variables. There is an ongoing exploration of how to express the probabilities and the implications of conditioning on one of the random variables.

Contextual Notes

Participants note the challenge of integrating to find the CDF and the potential need for additional resources or formulas not found in the original poster's textbook. There is also a mention of considering the geometric interpretation of the problem in the xy-plane.

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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