Sum of two independent uniform random variables

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The discussion focuses on understanding the limits of integration for the sum of two independent uniform random variables, specifically the range 1 < z < 2. Participants clarify that the integrand in the integral ∫ f(z-y) dy is zero unless certain conditions on y and z are met. For z < 1, the limits simplify to 0 < y < z, while for z > 1, the limits adjust to z - 1 < y < 1. This breakdown helps in determining the valid range for the random variables involved. The conversation emphasizes the importance of these limits in accurately calculating the probability distribution of the sum.
Pixel08
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Hi,

http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/Chapter7.pdf (see page 8, sum of two independent random variables).

I don't understand why they had to go further into the limits, 1 < z < 2. Why do they have to do that? And also, where did they get it from?

Can someone explain why? I've been looking at it for several hours now! :(
 
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Hi Pixel08! :smile:
Pixel08 said:
I don't understand why they had to go further into the limits, 1 < z < 2. Why do they have to do that?

In ∫ f(z-y) dy, the integrand is 0 unless 0 < y < 1 and 0 < z - y < 1

The second condition is the same as y < z and y > z - 1

If z < 1, we can ignore the last condition (because z - 1 < 0), so that's 0 < y < 1 and y < z, ie 0 < y < z

If z > 1, we can ignore y < z (because y < 1 anyway), so that's 0 < y < 1 and y > z - 1, ie z - 1 < y < 1 :wink:
 
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