Cumulative Frequency Homework: Solving (a) and (b)

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The discussion focuses on solving a homework problem involving the cumulative distribution function of the sum of two independent uniformly distributed random variables, X1 and X2, between 0 and 1. For part (a), the goal is to show that for 0≤Y≤1, the probability P(X1 + X2 = Y) equals ½ Y². The initial poster expresses confusion about the problem's wording and notation, particularly regarding the distinction between the random variable Y and its range. A participant clarifies that the correct approach involves calculating P(Y ≤ y) instead of P(X1 + X2 = Y), emphasizing the need to consider two cases based on the value of y. Clearer problem articulation is suggested to aid in understanding the solution process.
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Homework Statement


A random variable X is uniformly distributed between 0 and 1. Two independent observations are made,X1 and X2. Take (X1,X2 ) as a point on the lines X1 +X2 =Y in a cartesian plane. X1 +X2 =Y is triangular.
(a) show that , for 0≤ Y≤ 1, P( X1 +X2 =Y)= ½ Y2

(b) show that , for 1≤ Y≤ 2, P( X1 +X2 =Y)=1- ½ (2-Y)2



Homework Equations


f(x)=\frac{1}{b-a} ,for uniform distribution



The Attempt at a Solution



I know that f(x)=1 for 0≤ x≤ 1 since X is uniformly distributed. But how do I solve (a).
Can anyone show me the solution for (a) only so that I could solve (b) myself?

Thanks a lot!:smile:
 
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cyt91 said:

Homework Statement


A random variable X is uniformly distributed between 0 and 1. Two independent observations are made,X1 and X2. Take (X1,X2 ) as a point on the lines X1 +X2 =Y in a cartesian plane. X1 +X2 =Y is triangular.
(a) show that , for 0≤ Y≤ 1, P( X1 +X2 =Y)= ½ Y2

This is a very confused statement of the problem. First of all, I suppose that last Y2 is supposed to be Y2. Use the X2 icon for superscripts.

Secondly, you are apparently confused between a random variable Y and its range. Here you are giving Y as the sum of two random variables: Y = X1 + X2 (you can use the subscript button too). Per the title of your post, you are apparently seeking the cumulative distribution function for Y. The usual notation is to use lower case for the range values, so you want to calculate P(Y ≤ y) = P(X1 + X2 ≤ y), not P( X1 +X2 =Y). This is where you have two cases depending on whether y < 1 or y > 1.

Does stating the problem clearly help you any?
 
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