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Dec 5, 2018 at 18:17 comment added Andrea Prunotto I see. Wonderful. Thanks a lot, again! Everything works now!
Dec 5, 2018 at 16:41 comment added Iosif Pinelis (i) I have added the expression for $P(Y-X>k)$ and the corresponding expression for $E(Y-X)$. (ii) I would not say that $P(Y-X\ge1)$ does not depend on $p_3$, since it depends on $p_1,p_2$, whereas $p_3=1-p_1-p_2$.
Dec 5, 2018 at 16:38 history edited Iosif Pinelis CC BY-SA 4.0
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Dec 5, 2018 at 6:03 comment added Andrea Prunotto By the way, it is really surprising to me that $P(Y-X\geq 1)$ does not depend on $p_3$, i .e. on the number of green balls!
Dec 5, 2018 at 5:39 comment added Andrea Prunotto I wonder if it possible to put somehow together this post and the linked one: the aim would be to find $E[Y-X]=\sum_{k=?}^{\infty}P(Y-K>k)=E[Y]-E[X]$, where the latter terms are the ones you showed in the previous post. The relation $E[Y-X]=E[Y]-E[X]$ should hold for the linearity of the expected value. What do you think?
Dec 4, 2018 at 14:41 comment added Andrea Prunotto Thanks a lot Iosif! Your answer, and the explicit calculations are really helpful!
Dec 4, 2018 at 14:41 vote accept Andrea Prunotto
Dec 4, 2018 at 14:36 history answered Iosif Pinelis CC BY-SA 4.0