Markov inequality for random variables with negative values.
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I'm given the maximum value of a random variable $X$ (for example $50$) and its mean, $mathbb E(X)=20$. How do I find the upper bound to $P(Xle -10)$?
random-variables
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up vote
2
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I'm given the maximum value of a random variable $X$ (for example $50$) and its mean, $mathbb E(X)=20$. How do I find the upper bound to $P(Xle -10)$?
random-variables
1
I think that you need to make the transformation $Y = X + 11$ and work from there.
– Ekesh
Nov 14 at 8:37
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up vote
2
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up vote
2
down vote
favorite
I'm given the maximum value of a random variable $X$ (for example $50$) and its mean, $mathbb E(X)=20$. How do I find the upper bound to $P(Xle -10)$?
random-variables
I'm given the maximum value of a random variable $X$ (for example $50$) and its mean, $mathbb E(X)=20$. How do I find the upper bound to $P(Xle -10)$?
random-variables
random-variables
edited Nov 14 at 8:32
Jimmy R.
32.9k42157
32.9k42157
asked Nov 14 at 6:21
puffles
669
669
1
I think that you need to make the transformation $Y = X + 11$ and work from there.
– Ekesh
Nov 14 at 8:37
add a comment |
1
I think that you need to make the transformation $Y = X + 11$ and work from there.
– Ekesh
Nov 14 at 8:37
1
1
I think that you need to make the transformation $Y = X + 11$ and work from there.
– Ekesh
Nov 14 at 8:37
I think that you need to make the transformation $Y = X + 11$ and work from there.
– Ekesh
Nov 14 at 8:37
add a comment |
2 Answers
2
active
oldest
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up vote
0
down vote
accepted
Define new RV: S = 50 - R
E(S) = 30
P(R<=-10) = P(S>=60)
P(S>=60) = 30/60
= 1/2
You commented: I needed to clarify one last thing. P(50-X >= 60) <= 1/3
It should be 1/2 not 1/3.
How is the expectation 30. Can you please explain?
– puffles
Nov 17 at 20:53
S = 50 -R so E(S) = 50 -E(R) . Since E(R) = 20. We get E(S) = 30
– helloworld
Nov 17 at 21:24
add a comment |
up vote
1
down vote
Hint:
$50-X$ is a nonnegative random variable since $50$ is an upperbound.
Express your inequality in the form of $Pr(50-X ge c)$.
So it should be like this : P(50-X >= -10) ?
– puffles
Nov 14 at 11:23
$P(X le -10) = P(-X ge 10) = P(50-X ge 60)$, now apply Markov on $50-X$.
– Siong Thye Goh
Nov 14 at 11:24
Makes sense. Thanks a bunch!
– puffles
Nov 14 at 11:25
I needed to clarify one last thing. P(50-X >= 60) <= 1/3. Is this correct considering the typical formula of Markov inequality P(X >= a)? What I am trying to ask is that if a constant is added or subtracted in an interval such as in the above case, would it affect the final probability.
– puffles
Nov 15 at 15:26
1
yes, it is correct. if it makes you more comfortable, let $Y=50-X$ and check that $Y$ is nonnegative. If you perform some operations and prove that the two conditions are equivalent, then the probability stays the same.
– Siong Thye Goh
Nov 15 at 15:29
|
show 1 more comment
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
Define new RV: S = 50 - R
E(S) = 30
P(R<=-10) = P(S>=60)
P(S>=60) = 30/60
= 1/2
You commented: I needed to clarify one last thing. P(50-X >= 60) <= 1/3
It should be 1/2 not 1/3.
How is the expectation 30. Can you please explain?
– puffles
Nov 17 at 20:53
S = 50 -R so E(S) = 50 -E(R) . Since E(R) = 20. We get E(S) = 30
– helloworld
Nov 17 at 21:24
add a comment |
up vote
0
down vote
accepted
Define new RV: S = 50 - R
E(S) = 30
P(R<=-10) = P(S>=60)
P(S>=60) = 30/60
= 1/2
You commented: I needed to clarify one last thing. P(50-X >= 60) <= 1/3
It should be 1/2 not 1/3.
How is the expectation 30. Can you please explain?
– puffles
Nov 17 at 20:53
S = 50 -R so E(S) = 50 -E(R) . Since E(R) = 20. We get E(S) = 30
– helloworld
Nov 17 at 21:24
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
Define new RV: S = 50 - R
E(S) = 30
P(R<=-10) = P(S>=60)
P(S>=60) = 30/60
= 1/2
You commented: I needed to clarify one last thing. P(50-X >= 60) <= 1/3
It should be 1/2 not 1/3.
Define new RV: S = 50 - R
E(S) = 30
P(R<=-10) = P(S>=60)
P(S>=60) = 30/60
= 1/2
You commented: I needed to clarify one last thing. P(50-X >= 60) <= 1/3
It should be 1/2 not 1/3.
answered Nov 17 at 20:17
helloworld
477
477
How is the expectation 30. Can you please explain?
– puffles
Nov 17 at 20:53
S = 50 -R so E(S) = 50 -E(R) . Since E(R) = 20. We get E(S) = 30
– helloworld
Nov 17 at 21:24
add a comment |
How is the expectation 30. Can you please explain?
– puffles
Nov 17 at 20:53
S = 50 -R so E(S) = 50 -E(R) . Since E(R) = 20. We get E(S) = 30
– helloworld
Nov 17 at 21:24
How is the expectation 30. Can you please explain?
– puffles
Nov 17 at 20:53
How is the expectation 30. Can you please explain?
– puffles
Nov 17 at 20:53
S = 50 -R so E(S) = 50 -E(R) . Since E(R) = 20. We get E(S) = 30
– helloworld
Nov 17 at 21:24
S = 50 -R so E(S) = 50 -E(R) . Since E(R) = 20. We get E(S) = 30
– helloworld
Nov 17 at 21:24
add a comment |
up vote
1
down vote
Hint:
$50-X$ is a nonnegative random variable since $50$ is an upperbound.
Express your inequality in the form of $Pr(50-X ge c)$.
So it should be like this : P(50-X >= -10) ?
– puffles
Nov 14 at 11:23
$P(X le -10) = P(-X ge 10) = P(50-X ge 60)$, now apply Markov on $50-X$.
– Siong Thye Goh
Nov 14 at 11:24
Makes sense. Thanks a bunch!
– puffles
Nov 14 at 11:25
I needed to clarify one last thing. P(50-X >= 60) <= 1/3. Is this correct considering the typical formula of Markov inequality P(X >= a)? What I am trying to ask is that if a constant is added or subtracted in an interval such as in the above case, would it affect the final probability.
– puffles
Nov 15 at 15:26
1
yes, it is correct. if it makes you more comfortable, let $Y=50-X$ and check that $Y$ is nonnegative. If you perform some operations and prove that the two conditions are equivalent, then the probability stays the same.
– Siong Thye Goh
Nov 15 at 15:29
|
show 1 more comment
up vote
1
down vote
Hint:
$50-X$ is a nonnegative random variable since $50$ is an upperbound.
Express your inequality in the form of $Pr(50-X ge c)$.
So it should be like this : P(50-X >= -10) ?
– puffles
Nov 14 at 11:23
$P(X le -10) = P(-X ge 10) = P(50-X ge 60)$, now apply Markov on $50-X$.
– Siong Thye Goh
Nov 14 at 11:24
Makes sense. Thanks a bunch!
– puffles
Nov 14 at 11:25
I needed to clarify one last thing. P(50-X >= 60) <= 1/3. Is this correct considering the typical formula of Markov inequality P(X >= a)? What I am trying to ask is that if a constant is added or subtracted in an interval such as in the above case, would it affect the final probability.
– puffles
Nov 15 at 15:26
1
yes, it is correct. if it makes you more comfortable, let $Y=50-X$ and check that $Y$ is nonnegative. If you perform some operations and prove that the two conditions are equivalent, then the probability stays the same.
– Siong Thye Goh
Nov 15 at 15:29
|
show 1 more comment
up vote
1
down vote
up vote
1
down vote
Hint:
$50-X$ is a nonnegative random variable since $50$ is an upperbound.
Express your inequality in the form of $Pr(50-X ge c)$.
Hint:
$50-X$ is a nonnegative random variable since $50$ is an upperbound.
Express your inequality in the form of $Pr(50-X ge c)$.
answered Nov 14 at 8:38
Siong Thye Goh
94k1462114
94k1462114
So it should be like this : P(50-X >= -10) ?
– puffles
Nov 14 at 11:23
$P(X le -10) = P(-X ge 10) = P(50-X ge 60)$, now apply Markov on $50-X$.
– Siong Thye Goh
Nov 14 at 11:24
Makes sense. Thanks a bunch!
– puffles
Nov 14 at 11:25
I needed to clarify one last thing. P(50-X >= 60) <= 1/3. Is this correct considering the typical formula of Markov inequality P(X >= a)? What I am trying to ask is that if a constant is added or subtracted in an interval such as in the above case, would it affect the final probability.
– puffles
Nov 15 at 15:26
1
yes, it is correct. if it makes you more comfortable, let $Y=50-X$ and check that $Y$ is nonnegative. If you perform some operations and prove that the two conditions are equivalent, then the probability stays the same.
– Siong Thye Goh
Nov 15 at 15:29
|
show 1 more comment
So it should be like this : P(50-X >= -10) ?
– puffles
Nov 14 at 11:23
$P(X le -10) = P(-X ge 10) = P(50-X ge 60)$, now apply Markov on $50-X$.
– Siong Thye Goh
Nov 14 at 11:24
Makes sense. Thanks a bunch!
– puffles
Nov 14 at 11:25
I needed to clarify one last thing. P(50-X >= 60) <= 1/3. Is this correct considering the typical formula of Markov inequality P(X >= a)? What I am trying to ask is that if a constant is added or subtracted in an interval such as in the above case, would it affect the final probability.
– puffles
Nov 15 at 15:26
1
yes, it is correct. if it makes you more comfortable, let $Y=50-X$ and check that $Y$ is nonnegative. If you perform some operations and prove that the two conditions are equivalent, then the probability stays the same.
– Siong Thye Goh
Nov 15 at 15:29
So it should be like this : P(50-X >= -10) ?
– puffles
Nov 14 at 11:23
So it should be like this : P(50-X >= -10) ?
– puffles
Nov 14 at 11:23
$P(X le -10) = P(-X ge 10) = P(50-X ge 60)$, now apply Markov on $50-X$.
– Siong Thye Goh
Nov 14 at 11:24
$P(X le -10) = P(-X ge 10) = P(50-X ge 60)$, now apply Markov on $50-X$.
– Siong Thye Goh
Nov 14 at 11:24
Makes sense. Thanks a bunch!
– puffles
Nov 14 at 11:25
Makes sense. Thanks a bunch!
– puffles
Nov 14 at 11:25
I needed to clarify one last thing. P(50-X >= 60) <= 1/3. Is this correct considering the typical formula of Markov inequality P(X >= a)? What I am trying to ask is that if a constant is added or subtracted in an interval such as in the above case, would it affect the final probability.
– puffles
Nov 15 at 15:26
I needed to clarify one last thing. P(50-X >= 60) <= 1/3. Is this correct considering the typical formula of Markov inequality P(X >= a)? What I am trying to ask is that if a constant is added or subtracted in an interval such as in the above case, would it affect the final probability.
– puffles
Nov 15 at 15:26
1
1
yes, it is correct. if it makes you more comfortable, let $Y=50-X$ and check that $Y$ is nonnegative. If you perform some operations and prove that the two conditions are equivalent, then the probability stays the same.
– Siong Thye Goh
Nov 15 at 15:29
yes, it is correct. if it makes you more comfortable, let $Y=50-X$ and check that $Y$ is nonnegative. If you perform some operations and prove that the two conditions are equivalent, then the probability stays the same.
– Siong Thye Goh
Nov 15 at 15:29
|
show 1 more comment
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I think that you need to make the transformation $Y = X + 11$ and work from there.
– Ekesh
Nov 14 at 8:37