Probability of points on a Line
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Three points $X_1,X_2,X_3$ are selected at random on a line of length $L$. What is the probability that $X_2$ lies between $X_1$ $and$ $X_3$?
I know that all three are equally likely to be in the middle, but I don’t know how that is so, I’m looking for a way to come to that answer.
probability probability-theory probability-distributions random-variables
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Three points $X_1,X_2,X_3$ are selected at random on a line of length $L$. What is the probability that $X_2$ lies between $X_1$ $and$ $X_3$?
I know that all three are equally likely to be in the middle, but I don’t know how that is so, I’m looking for a way to come to that answer.
probability probability-theory probability-distributions random-variables
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Three points $X_1,X_2,X_3$ are selected at random on a line of length $L$. What is the probability that $X_2$ lies between $X_1$ $and$ $X_3$?
I know that all three are equally likely to be in the middle, but I don’t know how that is so, I’m looking for a way to come to that answer.
probability probability-theory probability-distributions random-variables
Three points $X_1,X_2,X_3$ are selected at random on a line of length $L$. What is the probability that $X_2$ lies between $X_1$ $and$ $X_3$?
I know that all three are equally likely to be in the middle, but I don’t know how that is so, I’m looking for a way to come to that answer.
probability probability-theory probability-distributions random-variables
probability probability-theory probability-distributions random-variables
asked Dec 1 at 21:25
user601297
895
895
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2 Answers
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Clearly $1/3$ due to permutation symmetry.
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Assuming that $X_{i}$ is coming from a continuous uniform distribution on the interval $(0,L)$ then $P(X_{i}=a)=0$, for any $a$ on the real line. Note that there are many ways to construct an interval of length $L$, such as $(-frac{L}{2},frac{L}{2}$), but I will assume in this case, the interval is $(0,L)$. Then your question is asking to find:
$P(X_{3}<X_{2}<X_{1})$
=$int_{x_{3}=0}^{L} int_{x_{3}}^{L}int_{x_{2}}^{L} frac{1}{L^{3}}dx_{1}dx_{2}dx_{3}$
1
in the integral, it should be $frac{1}{L^3}$ instead of $frac{1}{L}$.
– Daniel
Dec 1 at 22:15
@ Daniel...thank you. Yes, it’s the joint density function, again assuming that all RVs are independent.
– Live Free or π Hard
Dec 1 at 22:18
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
Clearly $1/3$ due to permutation symmetry.
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up vote
1
down vote
Clearly $1/3$ due to permutation symmetry.
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up vote
1
down vote
up vote
1
down vote
Clearly $1/3$ due to permutation symmetry.
Clearly $1/3$ due to permutation symmetry.
answered Dec 1 at 21:44
David G. Stork
9,31921232
9,31921232
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Assuming that $X_{i}$ is coming from a continuous uniform distribution on the interval $(0,L)$ then $P(X_{i}=a)=0$, for any $a$ on the real line. Note that there are many ways to construct an interval of length $L$, such as $(-frac{L}{2},frac{L}{2}$), but I will assume in this case, the interval is $(0,L)$. Then your question is asking to find:
$P(X_{3}<X_{2}<X_{1})$
=$int_{x_{3}=0}^{L} int_{x_{3}}^{L}int_{x_{2}}^{L} frac{1}{L^{3}}dx_{1}dx_{2}dx_{3}$
1
in the integral, it should be $frac{1}{L^3}$ instead of $frac{1}{L}$.
– Daniel
Dec 1 at 22:15
@ Daniel...thank you. Yes, it’s the joint density function, again assuming that all RVs are independent.
– Live Free or π Hard
Dec 1 at 22:18
add a comment |
up vote
0
down vote
Assuming that $X_{i}$ is coming from a continuous uniform distribution on the interval $(0,L)$ then $P(X_{i}=a)=0$, for any $a$ on the real line. Note that there are many ways to construct an interval of length $L$, such as $(-frac{L}{2},frac{L}{2}$), but I will assume in this case, the interval is $(0,L)$. Then your question is asking to find:
$P(X_{3}<X_{2}<X_{1})$
=$int_{x_{3}=0}^{L} int_{x_{3}}^{L}int_{x_{2}}^{L} frac{1}{L^{3}}dx_{1}dx_{2}dx_{3}$
1
in the integral, it should be $frac{1}{L^3}$ instead of $frac{1}{L}$.
– Daniel
Dec 1 at 22:15
@ Daniel...thank you. Yes, it’s the joint density function, again assuming that all RVs are independent.
– Live Free or π Hard
Dec 1 at 22:18
add a comment |
up vote
0
down vote
up vote
0
down vote
Assuming that $X_{i}$ is coming from a continuous uniform distribution on the interval $(0,L)$ then $P(X_{i}=a)=0$, for any $a$ on the real line. Note that there are many ways to construct an interval of length $L$, such as $(-frac{L}{2},frac{L}{2}$), but I will assume in this case, the interval is $(0,L)$. Then your question is asking to find:
$P(X_{3}<X_{2}<X_{1})$
=$int_{x_{3}=0}^{L} int_{x_{3}}^{L}int_{x_{2}}^{L} frac{1}{L^{3}}dx_{1}dx_{2}dx_{3}$
Assuming that $X_{i}$ is coming from a continuous uniform distribution on the interval $(0,L)$ then $P(X_{i}=a)=0$, for any $a$ on the real line. Note that there are many ways to construct an interval of length $L$, such as $(-frac{L}{2},frac{L}{2}$), but I will assume in this case, the interval is $(0,L)$. Then your question is asking to find:
$P(X_{3}<X_{2}<X_{1})$
=$int_{x_{3}=0}^{L} int_{x_{3}}^{L}int_{x_{2}}^{L} frac{1}{L^{3}}dx_{1}dx_{2}dx_{3}$
edited Dec 1 at 22:19
answered Dec 1 at 22:12
Live Free or π Hard
440213
440213
1
in the integral, it should be $frac{1}{L^3}$ instead of $frac{1}{L}$.
– Daniel
Dec 1 at 22:15
@ Daniel...thank you. Yes, it’s the joint density function, again assuming that all RVs are independent.
– Live Free or π Hard
Dec 1 at 22:18
add a comment |
1
in the integral, it should be $frac{1}{L^3}$ instead of $frac{1}{L}$.
– Daniel
Dec 1 at 22:15
@ Daniel...thank you. Yes, it’s the joint density function, again assuming that all RVs are independent.
– Live Free or π Hard
Dec 1 at 22:18
1
1
in the integral, it should be $frac{1}{L^3}$ instead of $frac{1}{L}$.
– Daniel
Dec 1 at 22:15
in the integral, it should be $frac{1}{L^3}$ instead of $frac{1}{L}$.
– Daniel
Dec 1 at 22:15
@ Daniel...thank you. Yes, it’s the joint density function, again assuming that all RVs are independent.
– Live Free or π Hard
Dec 1 at 22:18
@ Daniel...thank you. Yes, it’s the joint density function, again assuming that all RVs are independent.
– Live Free or π Hard
Dec 1 at 22:18
add a comment |
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