Determine $P(X > n +kmid X > n)$












1












$begingroup$



Bob is at the shooting range.

With probability $frac{1}{3}$ Bob hits the target.

Every shot is independent of the previous ones.

Bob starts and keeps shooting until he hits the target.

Let the random variable $X$ be the number of the shot that first hits the target.

For integers $n$ and $k$, determine $P(X > n +kmid X > n)$.




I start working on the conditional probability that becomes: $P(X > n +kmid X > n)=frac{P(X > n + k:cap:X > n)}{P(X > n)}=frac{P(X > n+ k)}{P(X > n)}$

Now how can I compute the probabilities from the data that I know, which distribution should I use, or how can I use the probabilities given in the question?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    What does "$X gt n$" mean in words? Can you find $P(X gt n)$?
    $endgroup$
    – Henry
    Jan 19 at 17:09








  • 1




    $begingroup$
    Is the probability that the number of the shot that first hits the target is greater than a positive integer $n$. No, I don't.. :(
    $endgroup$
    – FTAC
    Jan 19 at 17:14






  • 1




    $begingroup$
    Does Alice shoot too? This is not clear.
    $endgroup$
    – Bernard
    Jan 19 at 17:23










  • $begingroup$
    No, only Bob, I'll edit the question
    $endgroup$
    – FTAC
    Jan 19 at 17:26
















1












$begingroup$



Bob is at the shooting range.

With probability $frac{1}{3}$ Bob hits the target.

Every shot is independent of the previous ones.

Bob starts and keeps shooting until he hits the target.

Let the random variable $X$ be the number of the shot that first hits the target.

For integers $n$ and $k$, determine $P(X > n +kmid X > n)$.




I start working on the conditional probability that becomes: $P(X > n +kmid X > n)=frac{P(X > n + k:cap:X > n)}{P(X > n)}=frac{P(X > n+ k)}{P(X > n)}$

Now how can I compute the probabilities from the data that I know, which distribution should I use, or how can I use the probabilities given in the question?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    What does "$X gt n$" mean in words? Can you find $P(X gt n)$?
    $endgroup$
    – Henry
    Jan 19 at 17:09








  • 1




    $begingroup$
    Is the probability that the number of the shot that first hits the target is greater than a positive integer $n$. No, I don't.. :(
    $endgroup$
    – FTAC
    Jan 19 at 17:14






  • 1




    $begingroup$
    Does Alice shoot too? This is not clear.
    $endgroup$
    – Bernard
    Jan 19 at 17:23










  • $begingroup$
    No, only Bob, I'll edit the question
    $endgroup$
    – FTAC
    Jan 19 at 17:26














1












1








1





$begingroup$



Bob is at the shooting range.

With probability $frac{1}{3}$ Bob hits the target.

Every shot is independent of the previous ones.

Bob starts and keeps shooting until he hits the target.

Let the random variable $X$ be the number of the shot that first hits the target.

For integers $n$ and $k$, determine $P(X > n +kmid X > n)$.




I start working on the conditional probability that becomes: $P(X > n +kmid X > n)=frac{P(X > n + k:cap:X > n)}{P(X > n)}=frac{P(X > n+ k)}{P(X > n)}$

Now how can I compute the probabilities from the data that I know, which distribution should I use, or how can I use the probabilities given in the question?










share|cite|improve this question











$endgroup$





Bob is at the shooting range.

With probability $frac{1}{3}$ Bob hits the target.

Every shot is independent of the previous ones.

Bob starts and keeps shooting until he hits the target.

Let the random variable $X$ be the number of the shot that first hits the target.

For integers $n$ and $k$, determine $P(X > n +kmid X > n)$.




I start working on the conditional probability that becomes: $P(X > n +kmid X > n)=frac{P(X > n + k:cap:X > n)}{P(X > n)}=frac{P(X > n+ k)}{P(X > n)}$

Now how can I compute the probabilities from the data that I know, which distribution should I use, or how can I use the probabilities given in the question?







probability






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Jan 19 at 17:26







FTAC

















asked Jan 19 at 17:07









FTACFTAC

2649




2649








  • 1




    $begingroup$
    What does "$X gt n$" mean in words? Can you find $P(X gt n)$?
    $endgroup$
    – Henry
    Jan 19 at 17:09








  • 1




    $begingroup$
    Is the probability that the number of the shot that first hits the target is greater than a positive integer $n$. No, I don't.. :(
    $endgroup$
    – FTAC
    Jan 19 at 17:14






  • 1




    $begingroup$
    Does Alice shoot too? This is not clear.
    $endgroup$
    – Bernard
    Jan 19 at 17:23










  • $begingroup$
    No, only Bob, I'll edit the question
    $endgroup$
    – FTAC
    Jan 19 at 17:26














  • 1




    $begingroup$
    What does "$X gt n$" mean in words? Can you find $P(X gt n)$?
    $endgroup$
    – Henry
    Jan 19 at 17:09








  • 1




    $begingroup$
    Is the probability that the number of the shot that first hits the target is greater than a positive integer $n$. No, I don't.. :(
    $endgroup$
    – FTAC
    Jan 19 at 17:14






  • 1




    $begingroup$
    Does Alice shoot too? This is not clear.
    $endgroup$
    – Bernard
    Jan 19 at 17:23










  • $begingroup$
    No, only Bob, I'll edit the question
    $endgroup$
    – FTAC
    Jan 19 at 17:26








1




1




$begingroup$
What does "$X gt n$" mean in words? Can you find $P(X gt n)$?
$endgroup$
– Henry
Jan 19 at 17:09






$begingroup$
What does "$X gt n$" mean in words? Can you find $P(X gt n)$?
$endgroup$
– Henry
Jan 19 at 17:09






1




1




$begingroup$
Is the probability that the number of the shot that first hits the target is greater than a positive integer $n$. No, I don't.. :(
$endgroup$
– FTAC
Jan 19 at 17:14




$begingroup$
Is the probability that the number of the shot that first hits the target is greater than a positive integer $n$. No, I don't.. :(
$endgroup$
– FTAC
Jan 19 at 17:14




1




1




$begingroup$
Does Alice shoot too? This is not clear.
$endgroup$
– Bernard
Jan 19 at 17:23




$begingroup$
Does Alice shoot too? This is not clear.
$endgroup$
– Bernard
Jan 19 at 17:23












$begingroup$
No, only Bob, I'll edit the question
$endgroup$
– FTAC
Jan 19 at 17:26




$begingroup$
No, only Bob, I'll edit the question
$endgroup$
– FTAC
Jan 19 at 17:26










3 Answers
3






active

oldest

votes


















1












$begingroup$

Hint:



Observe that event ${X>m}$ is the same as the event that the first $m$ attempts did not succeed.



Find the probability of this event for $m=n$ and for $m=n+k$.



Google on "geometric distribution".






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks for the hint, so for a geometric distribution $P(X=m)=(1-p)^{m-1}$ and $P(X>m)=(1-p)^{m-1}$ right?
    $endgroup$
    – FTAC
    Jan 19 at 17:53






  • 1




    $begingroup$
    $P(X>m)=P(text{first fails and …and }mtext{-th fails})=(1-p)^m$
    $endgroup$
    – drhab
    Jan 19 at 17:59












  • $begingroup$
    What you write is not Bernoulli distribution? Should I use Geometric for this example?
    $endgroup$
    – FTAC
    Jan 19 at 18:05






  • 1




    $begingroup$
    $X$ has geometric distribution here and consequently $P(X>m)=(1-p)^m$. Further $P(X=m)=(1-p)^{m-1}p$ but that is not relevant. You only need $P(X>m)$.
    $endgroup$
    – drhab
    Jan 19 at 18:08










  • $begingroup$
    Thanks for the help, now it's clear!
    $endgroup$
    – FTAC
    Jan 19 at 18:15





















2












$begingroup$

The way I understand this is:



What's the probability that it will take at least n+k shots to git the target given that it will take at least n shots?



So I imagine this scenario:



Bob already took n shots (and missed), what's the probability that he'll have to take at least k more shots before he hits the target?



Note the condition given: Every shot is independent of the previous ones.



So to me it is clear that it doesn't matter that Bob already took n shots and missed. The chances he'll need k more shots now is the same as if he had just now started trying. In other words:



P(X > n + k | X > n) = P(X > k)






share|cite|improve this answer









$endgroup$













  • $begingroup$
    This makes sense, thanks for the hint!
    $endgroup$
    – FTAC
    Jan 19 at 17:54










  • $begingroup$
    This is the memoryless property of the geometric distribution
    $endgroup$
    – Henry
    Jan 19 at 19:01



















1












$begingroup$

The probability of Bob not hitting the target is $2/3$, so the probability that he misses $x$ times is $(2/3)^x$, since the individual shots are independent. How could you express the statement "Bob misses the target $n$ times" symbolically?






share|cite|improve this answer









$endgroup$













  • $begingroup$
    $P(X>n)=(1-frac{1}{3})^{n-1} right?$
    $endgroup$
    – FTAC
    Jan 19 at 17:51










  • $begingroup$
    not quite: for $X>n$ he has to miss $n$ times
    $endgroup$
    – Henry
    Jan 19 at 19:00











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3 Answers
3






active

oldest

votes








3 Answers
3






active

oldest

votes









active

oldest

votes






active

oldest

votes









1












$begingroup$

Hint:



Observe that event ${X>m}$ is the same as the event that the first $m$ attempts did not succeed.



Find the probability of this event for $m=n$ and for $m=n+k$.



Google on "geometric distribution".






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks for the hint, so for a geometric distribution $P(X=m)=(1-p)^{m-1}$ and $P(X>m)=(1-p)^{m-1}$ right?
    $endgroup$
    – FTAC
    Jan 19 at 17:53






  • 1




    $begingroup$
    $P(X>m)=P(text{first fails and …and }mtext{-th fails})=(1-p)^m$
    $endgroup$
    – drhab
    Jan 19 at 17:59












  • $begingroup$
    What you write is not Bernoulli distribution? Should I use Geometric for this example?
    $endgroup$
    – FTAC
    Jan 19 at 18:05






  • 1




    $begingroup$
    $X$ has geometric distribution here and consequently $P(X>m)=(1-p)^m$. Further $P(X=m)=(1-p)^{m-1}p$ but that is not relevant. You only need $P(X>m)$.
    $endgroup$
    – drhab
    Jan 19 at 18:08










  • $begingroup$
    Thanks for the help, now it's clear!
    $endgroup$
    – FTAC
    Jan 19 at 18:15


















1












$begingroup$

Hint:



Observe that event ${X>m}$ is the same as the event that the first $m$ attempts did not succeed.



Find the probability of this event for $m=n$ and for $m=n+k$.



Google on "geometric distribution".






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks for the hint, so for a geometric distribution $P(X=m)=(1-p)^{m-1}$ and $P(X>m)=(1-p)^{m-1}$ right?
    $endgroup$
    – FTAC
    Jan 19 at 17:53






  • 1




    $begingroup$
    $P(X>m)=P(text{first fails and …and }mtext{-th fails})=(1-p)^m$
    $endgroup$
    – drhab
    Jan 19 at 17:59












  • $begingroup$
    What you write is not Bernoulli distribution? Should I use Geometric for this example?
    $endgroup$
    – FTAC
    Jan 19 at 18:05






  • 1




    $begingroup$
    $X$ has geometric distribution here and consequently $P(X>m)=(1-p)^m$. Further $P(X=m)=(1-p)^{m-1}p$ but that is not relevant. You only need $P(X>m)$.
    $endgroup$
    – drhab
    Jan 19 at 18:08










  • $begingroup$
    Thanks for the help, now it's clear!
    $endgroup$
    – FTAC
    Jan 19 at 18:15
















1












1








1





$begingroup$

Hint:



Observe that event ${X>m}$ is the same as the event that the first $m$ attempts did not succeed.



Find the probability of this event for $m=n$ and for $m=n+k$.



Google on "geometric distribution".






share|cite|improve this answer









$endgroup$



Hint:



Observe that event ${X>m}$ is the same as the event that the first $m$ attempts did not succeed.



Find the probability of this event for $m=n$ and for $m=n+k$.



Google on "geometric distribution".







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Jan 19 at 17:32









drhabdrhab

102k545136




102k545136












  • $begingroup$
    Thanks for the hint, so for a geometric distribution $P(X=m)=(1-p)^{m-1}$ and $P(X>m)=(1-p)^{m-1}$ right?
    $endgroup$
    – FTAC
    Jan 19 at 17:53






  • 1




    $begingroup$
    $P(X>m)=P(text{first fails and …and }mtext{-th fails})=(1-p)^m$
    $endgroup$
    – drhab
    Jan 19 at 17:59












  • $begingroup$
    What you write is not Bernoulli distribution? Should I use Geometric for this example?
    $endgroup$
    – FTAC
    Jan 19 at 18:05






  • 1




    $begingroup$
    $X$ has geometric distribution here and consequently $P(X>m)=(1-p)^m$. Further $P(X=m)=(1-p)^{m-1}p$ but that is not relevant. You only need $P(X>m)$.
    $endgroup$
    – drhab
    Jan 19 at 18:08










  • $begingroup$
    Thanks for the help, now it's clear!
    $endgroup$
    – FTAC
    Jan 19 at 18:15




















  • $begingroup$
    Thanks for the hint, so for a geometric distribution $P(X=m)=(1-p)^{m-1}$ and $P(X>m)=(1-p)^{m-1}$ right?
    $endgroup$
    – FTAC
    Jan 19 at 17:53






  • 1




    $begingroup$
    $P(X>m)=P(text{first fails and …and }mtext{-th fails})=(1-p)^m$
    $endgroup$
    – drhab
    Jan 19 at 17:59












  • $begingroup$
    What you write is not Bernoulli distribution? Should I use Geometric for this example?
    $endgroup$
    – FTAC
    Jan 19 at 18:05






  • 1




    $begingroup$
    $X$ has geometric distribution here and consequently $P(X>m)=(1-p)^m$. Further $P(X=m)=(1-p)^{m-1}p$ but that is not relevant. You only need $P(X>m)$.
    $endgroup$
    – drhab
    Jan 19 at 18:08










  • $begingroup$
    Thanks for the help, now it's clear!
    $endgroup$
    – FTAC
    Jan 19 at 18:15


















$begingroup$
Thanks for the hint, so for a geometric distribution $P(X=m)=(1-p)^{m-1}$ and $P(X>m)=(1-p)^{m-1}$ right?
$endgroup$
– FTAC
Jan 19 at 17:53




$begingroup$
Thanks for the hint, so for a geometric distribution $P(X=m)=(1-p)^{m-1}$ and $P(X>m)=(1-p)^{m-1}$ right?
$endgroup$
– FTAC
Jan 19 at 17:53




1




1




$begingroup$
$P(X>m)=P(text{first fails and …and }mtext{-th fails})=(1-p)^m$
$endgroup$
– drhab
Jan 19 at 17:59






$begingroup$
$P(X>m)=P(text{first fails and …and }mtext{-th fails})=(1-p)^m$
$endgroup$
– drhab
Jan 19 at 17:59














$begingroup$
What you write is not Bernoulli distribution? Should I use Geometric for this example?
$endgroup$
– FTAC
Jan 19 at 18:05




$begingroup$
What you write is not Bernoulli distribution? Should I use Geometric for this example?
$endgroup$
– FTAC
Jan 19 at 18:05




1




1




$begingroup$
$X$ has geometric distribution here and consequently $P(X>m)=(1-p)^m$. Further $P(X=m)=(1-p)^{m-1}p$ but that is not relevant. You only need $P(X>m)$.
$endgroup$
– drhab
Jan 19 at 18:08




$begingroup$
$X$ has geometric distribution here and consequently $P(X>m)=(1-p)^m$. Further $P(X=m)=(1-p)^{m-1}p$ but that is not relevant. You only need $P(X>m)$.
$endgroup$
– drhab
Jan 19 at 18:08












$begingroup$
Thanks for the help, now it's clear!
$endgroup$
– FTAC
Jan 19 at 18:15






$begingroup$
Thanks for the help, now it's clear!
$endgroup$
– FTAC
Jan 19 at 18:15













2












$begingroup$

The way I understand this is:



What's the probability that it will take at least n+k shots to git the target given that it will take at least n shots?



So I imagine this scenario:



Bob already took n shots (and missed), what's the probability that he'll have to take at least k more shots before he hits the target?



Note the condition given: Every shot is independent of the previous ones.



So to me it is clear that it doesn't matter that Bob already took n shots and missed. The chances he'll need k more shots now is the same as if he had just now started trying. In other words:



P(X > n + k | X > n) = P(X > k)






share|cite|improve this answer









$endgroup$













  • $begingroup$
    This makes sense, thanks for the hint!
    $endgroup$
    – FTAC
    Jan 19 at 17:54










  • $begingroup$
    This is the memoryless property of the geometric distribution
    $endgroup$
    – Henry
    Jan 19 at 19:01
















2












$begingroup$

The way I understand this is:



What's the probability that it will take at least n+k shots to git the target given that it will take at least n shots?



So I imagine this scenario:



Bob already took n shots (and missed), what's the probability that he'll have to take at least k more shots before he hits the target?



Note the condition given: Every shot is independent of the previous ones.



So to me it is clear that it doesn't matter that Bob already took n shots and missed. The chances he'll need k more shots now is the same as if he had just now started trying. In other words:



P(X > n + k | X > n) = P(X > k)






share|cite|improve this answer









$endgroup$













  • $begingroup$
    This makes sense, thanks for the hint!
    $endgroup$
    – FTAC
    Jan 19 at 17:54










  • $begingroup$
    This is the memoryless property of the geometric distribution
    $endgroup$
    – Henry
    Jan 19 at 19:01














2












2








2





$begingroup$

The way I understand this is:



What's the probability that it will take at least n+k shots to git the target given that it will take at least n shots?



So I imagine this scenario:



Bob already took n shots (and missed), what's the probability that he'll have to take at least k more shots before he hits the target?



Note the condition given: Every shot is independent of the previous ones.



So to me it is clear that it doesn't matter that Bob already took n shots and missed. The chances he'll need k more shots now is the same as if he had just now started trying. In other words:



P(X > n + k | X > n) = P(X > k)






share|cite|improve this answer









$endgroup$



The way I understand this is:



What's the probability that it will take at least n+k shots to git the target given that it will take at least n shots?



So I imagine this scenario:



Bob already took n shots (and missed), what's the probability that he'll have to take at least k more shots before he hits the target?



Note the condition given: Every shot is independent of the previous ones.



So to me it is clear that it doesn't matter that Bob already took n shots and missed. The chances he'll need k more shots now is the same as if he had just now started trying. In other words:



P(X > n + k | X > n) = P(X > k)







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Jan 19 at 17:38









WalterWalter

662




662












  • $begingroup$
    This makes sense, thanks for the hint!
    $endgroup$
    – FTAC
    Jan 19 at 17:54










  • $begingroup$
    This is the memoryless property of the geometric distribution
    $endgroup$
    – Henry
    Jan 19 at 19:01


















  • $begingroup$
    This makes sense, thanks for the hint!
    $endgroup$
    – FTAC
    Jan 19 at 17:54










  • $begingroup$
    This is the memoryless property of the geometric distribution
    $endgroup$
    – Henry
    Jan 19 at 19:01
















$begingroup$
This makes sense, thanks for the hint!
$endgroup$
– FTAC
Jan 19 at 17:54




$begingroup$
This makes sense, thanks for the hint!
$endgroup$
– FTAC
Jan 19 at 17:54












$begingroup$
This is the memoryless property of the geometric distribution
$endgroup$
– Henry
Jan 19 at 19:01




$begingroup$
This is the memoryless property of the geometric distribution
$endgroup$
– Henry
Jan 19 at 19:01











1












$begingroup$

The probability of Bob not hitting the target is $2/3$, so the probability that he misses $x$ times is $(2/3)^x$, since the individual shots are independent. How could you express the statement "Bob misses the target $n$ times" symbolically?






share|cite|improve this answer









$endgroup$













  • $begingroup$
    $P(X>n)=(1-frac{1}{3})^{n-1} right?$
    $endgroup$
    – FTAC
    Jan 19 at 17:51










  • $begingroup$
    not quite: for $X>n$ he has to miss $n$ times
    $endgroup$
    – Henry
    Jan 19 at 19:00
















1












$begingroup$

The probability of Bob not hitting the target is $2/3$, so the probability that he misses $x$ times is $(2/3)^x$, since the individual shots are independent. How could you express the statement "Bob misses the target $n$ times" symbolically?






share|cite|improve this answer









$endgroup$













  • $begingroup$
    $P(X>n)=(1-frac{1}{3})^{n-1} right?$
    $endgroup$
    – FTAC
    Jan 19 at 17:51










  • $begingroup$
    not quite: for $X>n$ he has to miss $n$ times
    $endgroup$
    – Henry
    Jan 19 at 19:00














1












1








1





$begingroup$

The probability of Bob not hitting the target is $2/3$, so the probability that he misses $x$ times is $(2/3)^x$, since the individual shots are independent. How could you express the statement "Bob misses the target $n$ times" symbolically?






share|cite|improve this answer









$endgroup$



The probability of Bob not hitting the target is $2/3$, so the probability that he misses $x$ times is $(2/3)^x$, since the individual shots are independent. How could you express the statement "Bob misses the target $n$ times" symbolically?







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answered Jan 19 at 17:31









Teddan the TerranTeddan the Terran

1,206210




1,206210












  • $begingroup$
    $P(X>n)=(1-frac{1}{3})^{n-1} right?$
    $endgroup$
    – FTAC
    Jan 19 at 17:51










  • $begingroup$
    not quite: for $X>n$ he has to miss $n$ times
    $endgroup$
    – Henry
    Jan 19 at 19:00


















  • $begingroup$
    $P(X>n)=(1-frac{1}{3})^{n-1} right?$
    $endgroup$
    – FTAC
    Jan 19 at 17:51










  • $begingroup$
    not quite: for $X>n$ he has to miss $n$ times
    $endgroup$
    – Henry
    Jan 19 at 19:00
















$begingroup$
$P(X>n)=(1-frac{1}{3})^{n-1} right?$
$endgroup$
– FTAC
Jan 19 at 17:51




$begingroup$
$P(X>n)=(1-frac{1}{3})^{n-1} right?$
$endgroup$
– FTAC
Jan 19 at 17:51












$begingroup$
not quite: for $X>n$ he has to miss $n$ times
$endgroup$
– Henry
Jan 19 at 19:00




$begingroup$
not quite: for $X>n$ he has to miss $n$ times
$endgroup$
– Henry
Jan 19 at 19:00


















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