Probability of $X_1 geq X_2$

Clash Royale CLAN TAG#URR8PPP
$begingroup$
Suppose $X_1$ and $X_2$ are independent geometric random variables with parameter $p$. What is the probability that $X_1 geq X_2$?
I am confused about this question because we aren't told anything about $X_1$ and $X_2$ other than they are geometric. Wouldn't this be $50%$ because $X_1$ and $X_2$ can be anything in the range?
EDIT: New attempt
$P(X1 ≥ X2) = P(X1 > X2) + P(X1 = X2)$
$P(X1 = X2)$ = $sum_x$ $(1-p)^x-1p(1-p)^x-1p$ = $fracp2-p$
$P(X1 > X2)$ = $P(X1 < X2)$ and $P(X1 < X2) + P(X1 > X2) + P(X1 = X2) = 1$
Therefore, $P(X1 > X2)$ = $frac1-P(X1 = X2)2$ = $frac1-p2-p$
Adding $P(X1 = X2)=fracp2-p$ to that , I get $P(X1 ≥ X2)$ = $frac12-p$
Is this correct?
self-study random-variable geometric-distribution
$endgroup$
add a comment |
$begingroup$
Suppose $X_1$ and $X_2$ are independent geometric random variables with parameter $p$. What is the probability that $X_1 geq X_2$?
I am confused about this question because we aren't told anything about $X_1$ and $X_2$ other than they are geometric. Wouldn't this be $50%$ because $X_1$ and $X_2$ can be anything in the range?
EDIT: New attempt
$P(X1 ≥ X2) = P(X1 > X2) + P(X1 = X2)$
$P(X1 = X2)$ = $sum_x$ $(1-p)^x-1p(1-p)^x-1p$ = $fracp2-p$
$P(X1 > X2)$ = $P(X1 < X2)$ and $P(X1 < X2) + P(X1 > X2) + P(X1 = X2) = 1$
Therefore, $P(X1 > X2)$ = $frac1-P(X1 = X2)2$ = $frac1-p2-p$
Adding $P(X1 = X2)=fracp2-p$ to that , I get $P(X1 ≥ X2)$ = $frac12-p$
Is this correct?
self-study random-variable geometric-distribution
$endgroup$
3
$begingroup$
Please add the 'self-study' tag.
$endgroup$
– StubbornAtom
Feb 23 at 23:21
1
$begingroup$
Actually becauseX1andX2are discrete variables the equality makes things a bit less obvious.
$endgroup$
– usεr11852
Feb 23 at 23:21
add a comment |
$begingroup$
Suppose $X_1$ and $X_2$ are independent geometric random variables with parameter $p$. What is the probability that $X_1 geq X_2$?
I am confused about this question because we aren't told anything about $X_1$ and $X_2$ other than they are geometric. Wouldn't this be $50%$ because $X_1$ and $X_2$ can be anything in the range?
EDIT: New attempt
$P(X1 ≥ X2) = P(X1 > X2) + P(X1 = X2)$
$P(X1 = X2)$ = $sum_x$ $(1-p)^x-1p(1-p)^x-1p$ = $fracp2-p$
$P(X1 > X2)$ = $P(X1 < X2)$ and $P(X1 < X2) + P(X1 > X2) + P(X1 = X2) = 1$
Therefore, $P(X1 > X2)$ = $frac1-P(X1 = X2)2$ = $frac1-p2-p$
Adding $P(X1 = X2)=fracp2-p$ to that , I get $P(X1 ≥ X2)$ = $frac12-p$
Is this correct?
self-study random-variable geometric-distribution
$endgroup$
Suppose $X_1$ and $X_2$ are independent geometric random variables with parameter $p$. What is the probability that $X_1 geq X_2$?
I am confused about this question because we aren't told anything about $X_1$ and $X_2$ other than they are geometric. Wouldn't this be $50%$ because $X_1$ and $X_2$ can be anything in the range?
EDIT: New attempt
$P(X1 ≥ X2) = P(X1 > X2) + P(X1 = X2)$
$P(X1 = X2)$ = $sum_x$ $(1-p)^x-1p(1-p)^x-1p$ = $fracp2-p$
$P(X1 > X2)$ = $P(X1 < X2)$ and $P(X1 < X2) + P(X1 > X2) + P(X1 = X2) = 1$
Therefore, $P(X1 > X2)$ = $frac1-P(X1 = X2)2$ = $frac1-p2-p$
Adding $P(X1 = X2)=fracp2-p$ to that , I get $P(X1 ≥ X2)$ = $frac12-p$
Is this correct?
self-study random-variable geometric-distribution
self-study random-variable geometric-distribution
edited Feb 24 at 16:51
StatsStudent
6,04332044
6,04332044
asked Feb 23 at 23:15
SraSra
944
944
3
$begingroup$
Please add the 'self-study' tag.
$endgroup$
– StubbornAtom
Feb 23 at 23:21
1
$begingroup$
Actually becauseX1andX2are discrete variables the equality makes things a bit less obvious.
$endgroup$
– usεr11852
Feb 23 at 23:21
add a comment |
3
$begingroup$
Please add the 'self-study' tag.
$endgroup$
– StubbornAtom
Feb 23 at 23:21
1
$begingroup$
Actually becauseX1andX2are discrete variables the equality makes things a bit less obvious.
$endgroup$
– usεr11852
Feb 23 at 23:21
3
3
$begingroup$
Please add the 'self-study' tag.
$endgroup$
– StubbornAtom
Feb 23 at 23:21
$begingroup$
Please add the 'self-study' tag.
$endgroup$
– StubbornAtom
Feb 23 at 23:21
1
1
$begingroup$
Actually because
X1 and X2 are discrete variables the equality makes things a bit less obvious.$endgroup$
– usεr11852
Feb 23 at 23:21
$begingroup$
Actually because
X1 and X2 are discrete variables the equality makes things a bit less obvious.$endgroup$
– usεr11852
Feb 23 at 23:21
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
It can't be $50%$ because $P(X_1=X_2)>0$
One approach:
Consider the three events $P(X_1>X_2), P(X_2>X_1)$ and $P(X_1=X_2)$, which partition the sample space.
There's an obvious connection between the first two. Write an expression for the third and simplify. Hence solve the question.
$endgroup$
$begingroup$
I edited, my post with my new answer. Could you take a look and see if it's correct?
$endgroup$
– Sra
Feb 24 at 3:02
1
$begingroup$
Yes, your answers look correct. An alternative method (using a similar idea) would be to note that $P(X_1geq X_2)=frac12 + frac12 P(X_1=X_2)$ (again, exploiting the symmetry/exchangeability of $X_1$ and $X_2$).
$endgroup$
– Glen_b♦
Feb 24 at 4:26
add a comment |
$begingroup$
Your answer, following Glen's suggestion, is correct. Another, less elegant, way is just to condition:
beginalign
PrX_1geq X_2 &= sum_k=0^infty PrX_1geq X_2mid X_2=k PrX_2=k \ &= sum_k=0^infty sum_ell=k^infty PrX_1=ellPrX_2=k.
endalign
This will give you the same $1/(2-p)$, after handling the two geometric series. Glen's way is better.
$endgroup$
4
$begingroup$
note - your way is better for applying to new problems I think. Because it is based on first principles. The trick/intuiton from glen_b's answer usually comes after the problem has been solved your way
$endgroup$
– probabilityislogic
Feb 24 at 4:28
3
$begingroup$
@probabilityislogic I share your enthusiasm for derivations from "first principles." However, to a modern mathematician, looking for and exploiting symmetry is even more fundamental than the first principles (definitions) to which you refer: we might call it a metaprinciple of mathematics. It's much more than a mere "trick."
$endgroup$
– whuber♦
Feb 24 at 17:13
add a comment |
Your Answer
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
It can't be $50%$ because $P(X_1=X_2)>0$
One approach:
Consider the three events $P(X_1>X_2), P(X_2>X_1)$ and $P(X_1=X_2)$, which partition the sample space.
There's an obvious connection between the first two. Write an expression for the third and simplify. Hence solve the question.
$endgroup$
$begingroup$
I edited, my post with my new answer. Could you take a look and see if it's correct?
$endgroup$
– Sra
Feb 24 at 3:02
1
$begingroup$
Yes, your answers look correct. An alternative method (using a similar idea) would be to note that $P(X_1geq X_2)=frac12 + frac12 P(X_1=X_2)$ (again, exploiting the symmetry/exchangeability of $X_1$ and $X_2$).
$endgroup$
– Glen_b♦
Feb 24 at 4:26
add a comment |
$begingroup$
It can't be $50%$ because $P(X_1=X_2)>0$
One approach:
Consider the three events $P(X_1>X_2), P(X_2>X_1)$ and $P(X_1=X_2)$, which partition the sample space.
There's an obvious connection between the first two. Write an expression for the third and simplify. Hence solve the question.
$endgroup$
$begingroup$
I edited, my post with my new answer. Could you take a look and see if it's correct?
$endgroup$
– Sra
Feb 24 at 3:02
1
$begingroup$
Yes, your answers look correct. An alternative method (using a similar idea) would be to note that $P(X_1geq X_2)=frac12 + frac12 P(X_1=X_2)$ (again, exploiting the symmetry/exchangeability of $X_1$ and $X_2$).
$endgroup$
– Glen_b♦
Feb 24 at 4:26
add a comment |
$begingroup$
It can't be $50%$ because $P(X_1=X_2)>0$
One approach:
Consider the three events $P(X_1>X_2), P(X_2>X_1)$ and $P(X_1=X_2)$, which partition the sample space.
There's an obvious connection between the first two. Write an expression for the third and simplify. Hence solve the question.
$endgroup$
It can't be $50%$ because $P(X_1=X_2)>0$
One approach:
Consider the three events $P(X_1>X_2), P(X_2>X_1)$ and $P(X_1=X_2)$, which partition the sample space.
There's an obvious connection between the first two. Write an expression for the third and simplify. Hence solve the question.
edited Feb 24 at 0:03
answered Feb 23 at 23:55
Glen_b♦Glen_b
214k23415765
214k23415765
$begingroup$
I edited, my post with my new answer. Could you take a look and see if it's correct?
$endgroup$
– Sra
Feb 24 at 3:02
1
$begingroup$
Yes, your answers look correct. An alternative method (using a similar idea) would be to note that $P(X_1geq X_2)=frac12 + frac12 P(X_1=X_2)$ (again, exploiting the symmetry/exchangeability of $X_1$ and $X_2$).
$endgroup$
– Glen_b♦
Feb 24 at 4:26
add a comment |
$begingroup$
I edited, my post with my new answer. Could you take a look and see if it's correct?
$endgroup$
– Sra
Feb 24 at 3:02
1
$begingroup$
Yes, your answers look correct. An alternative method (using a similar idea) would be to note that $P(X_1geq X_2)=frac12 + frac12 P(X_1=X_2)$ (again, exploiting the symmetry/exchangeability of $X_1$ and $X_2$).
$endgroup$
– Glen_b♦
Feb 24 at 4:26
$begingroup$
I edited, my post with my new answer. Could you take a look and see if it's correct?
$endgroup$
– Sra
Feb 24 at 3:02
$begingroup$
I edited, my post with my new answer. Could you take a look and see if it's correct?
$endgroup$
– Sra
Feb 24 at 3:02
1
1
$begingroup$
Yes, your answers look correct. An alternative method (using a similar idea) would be to note that $P(X_1geq X_2)=frac12 + frac12 P(X_1=X_2)$ (again, exploiting the symmetry/exchangeability of $X_1$ and $X_2$).
$endgroup$
– Glen_b♦
Feb 24 at 4:26
$begingroup$
Yes, your answers look correct. An alternative method (using a similar idea) would be to note that $P(X_1geq X_2)=frac12 + frac12 P(X_1=X_2)$ (again, exploiting the symmetry/exchangeability of $X_1$ and $X_2$).
$endgroup$
– Glen_b♦
Feb 24 at 4:26
add a comment |
$begingroup$
Your answer, following Glen's suggestion, is correct. Another, less elegant, way is just to condition:
beginalign
PrX_1geq X_2 &= sum_k=0^infty PrX_1geq X_2mid X_2=k PrX_2=k \ &= sum_k=0^infty sum_ell=k^infty PrX_1=ellPrX_2=k.
endalign
This will give you the same $1/(2-p)$, after handling the two geometric series. Glen's way is better.
$endgroup$
4
$begingroup$
note - your way is better for applying to new problems I think. Because it is based on first principles. The trick/intuiton from glen_b's answer usually comes after the problem has been solved your way
$endgroup$
– probabilityislogic
Feb 24 at 4:28
3
$begingroup$
@probabilityislogic I share your enthusiasm for derivations from "first principles." However, to a modern mathematician, looking for and exploiting symmetry is even more fundamental than the first principles (definitions) to which you refer: we might call it a metaprinciple of mathematics. It's much more than a mere "trick."
$endgroup$
– whuber♦
Feb 24 at 17:13
add a comment |
$begingroup$
Your answer, following Glen's suggestion, is correct. Another, less elegant, way is just to condition:
beginalign
PrX_1geq X_2 &= sum_k=0^infty PrX_1geq X_2mid X_2=k PrX_2=k \ &= sum_k=0^infty sum_ell=k^infty PrX_1=ellPrX_2=k.
endalign
This will give you the same $1/(2-p)$, after handling the two geometric series. Glen's way is better.
$endgroup$
4
$begingroup$
note - your way is better for applying to new problems I think. Because it is based on first principles. The trick/intuiton from glen_b's answer usually comes after the problem has been solved your way
$endgroup$
– probabilityislogic
Feb 24 at 4:28
3
$begingroup$
@probabilityislogic I share your enthusiasm for derivations from "first principles." However, to a modern mathematician, looking for and exploiting symmetry is even more fundamental than the first principles (definitions) to which you refer: we might call it a metaprinciple of mathematics. It's much more than a mere "trick."
$endgroup$
– whuber♦
Feb 24 at 17:13
add a comment |
$begingroup$
Your answer, following Glen's suggestion, is correct. Another, less elegant, way is just to condition:
beginalign
PrX_1geq X_2 &= sum_k=0^infty PrX_1geq X_2mid X_2=k PrX_2=k \ &= sum_k=0^infty sum_ell=k^infty PrX_1=ellPrX_2=k.
endalign
This will give you the same $1/(2-p)$, after handling the two geometric series. Glen's way is better.
$endgroup$
Your answer, following Glen's suggestion, is correct. Another, less elegant, way is just to condition:
beginalign
PrX_1geq X_2 &= sum_k=0^infty PrX_1geq X_2mid X_2=k PrX_2=k \ &= sum_k=0^infty sum_ell=k^infty PrX_1=ellPrX_2=k.
endalign
This will give you the same $1/(2-p)$, after handling the two geometric series. Glen's way is better.
answered Feb 24 at 4:01
ZenZen
17.3k35498
17.3k35498
4
$begingroup$
note - your way is better for applying to new problems I think. Because it is based on first principles. The trick/intuiton from glen_b's answer usually comes after the problem has been solved your way
$endgroup$
– probabilityislogic
Feb 24 at 4:28
3
$begingroup$
@probabilityislogic I share your enthusiasm for derivations from "first principles." However, to a modern mathematician, looking for and exploiting symmetry is even more fundamental than the first principles (definitions) to which you refer: we might call it a metaprinciple of mathematics. It's much more than a mere "trick."
$endgroup$
– whuber♦
Feb 24 at 17:13
add a comment |
4
$begingroup$
note - your way is better for applying to new problems I think. Because it is based on first principles. The trick/intuiton from glen_b's answer usually comes after the problem has been solved your way
$endgroup$
– probabilityislogic
Feb 24 at 4:28
3
$begingroup$
@probabilityislogic I share your enthusiasm for derivations from "first principles." However, to a modern mathematician, looking for and exploiting symmetry is even more fundamental than the first principles (definitions) to which you refer: we might call it a metaprinciple of mathematics. It's much more than a mere "trick."
$endgroup$
– whuber♦
Feb 24 at 17:13
4
4
$begingroup$
note - your way is better for applying to new problems I think. Because it is based on first principles. The trick/intuiton from glen_b's answer usually comes after the problem has been solved your way
$endgroup$
– probabilityislogic
Feb 24 at 4:28
$begingroup$
note - your way is better for applying to new problems I think. Because it is based on first principles. The trick/intuiton from glen_b's answer usually comes after the problem has been solved your way
$endgroup$
– probabilityislogic
Feb 24 at 4:28
3
3
$begingroup$
@probabilityislogic I share your enthusiasm for derivations from "first principles." However, to a modern mathematician, looking for and exploiting symmetry is even more fundamental than the first principles (definitions) to which you refer: we might call it a metaprinciple of mathematics. It's much more than a mere "trick."
$endgroup$
– whuber♦
Feb 24 at 17:13
$begingroup$
@probabilityislogic I share your enthusiasm for derivations from "first principles." However, to a modern mathematician, looking for and exploiting symmetry is even more fundamental than the first principles (definitions) to which you refer: we might call it a metaprinciple of mathematics. It's much more than a mere "trick."
$endgroup$
– whuber♦
Feb 24 at 17:13
add a comment |
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3
$begingroup$
Please add the 'self-study' tag.
$endgroup$
– StubbornAtom
Feb 23 at 23:21
1
$begingroup$
Actually because
X1andX2are discrete variables the equality makes things a bit less obvious.$endgroup$
– usεr11852
Feb 23 at 23:21