Cumulative distribution function for geometric random variable
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For geometric random variable $f(k)=(1-p)^k-1p$.
Then $$F(k) = P(Xleq x)= 1-P(x>k) = 1 - sum_i=k+1p(1-p)^i-1 = 1 - (1-p)^k sum_i=1^ infty p(1-p)^i-1= 1 - (1-p)^k$$
I would appriciate a breakdown of these steps. Especially why do we take $1-P(x>k)$ and what operations are preformed on the summation sign?
Stating the obvious is very welcone, my mathematical background is quite limited.
statistics geometric-probability
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up vote
0
down vote
favorite
For geometric random variable $f(k)=(1-p)^k-1p$.
Then $$F(k) = P(Xleq x)= 1-P(x>k) = 1 - sum_i=k+1p(1-p)^i-1 = 1 - (1-p)^k sum_i=1^ infty p(1-p)^i-1= 1 - (1-p)^k$$
I would appriciate a breakdown of these steps. Especially why do we take $1-P(x>k)$ and what operations are preformed on the summation sign?
Stating the obvious is very welcone, my mathematical background is quite limited.
statistics geometric-probability
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
For geometric random variable $f(k)=(1-p)^k-1p$.
Then $$F(k) = P(Xleq x)= 1-P(x>k) = 1 - sum_i=k+1p(1-p)^i-1 = 1 - (1-p)^k sum_i=1^ infty p(1-p)^i-1= 1 - (1-p)^k$$
I would appriciate a breakdown of these steps. Especially why do we take $1-P(x>k)$ and what operations are preformed on the summation sign?
Stating the obvious is very welcone, my mathematical background is quite limited.
statistics geometric-probability
For geometric random variable $f(k)=(1-p)^k-1p$.
Then $$F(k) = P(Xleq x)= 1-P(x>k) = 1 - sum_i=k+1p(1-p)^i-1 = 1 - (1-p)^k sum_i=1^ infty p(1-p)^i-1= 1 - (1-p)^k$$
I would appriciate a breakdown of these steps. Especially why do we take $1-P(x>k)$ and what operations are preformed on the summation sign?
Stating the obvious is very welcone, my mathematical background is quite limited.
statistics geometric-probability
edited Aug 1 at 7:40
asked Jul 31 at 14:53
user1607
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1 Answer
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The main idea is using the geometric series $$sum_i=0^inftya , r^i = fraca1-r$$
$P(X leq k)$ is a finite
sum, while $P(X>k)$ is an infinite series
, specifically a geometric series. So to utilize the geometric series expression, instead of looking at $P(X leq k)$ one looks at the equivalent $1-P(X>k)$.
Then $P(X>k)=sum_i=k+1^inftyp(1-p)^i-1$ simplifies as done in your expression. I personally find it easier to look at the first few terms written out:
beginalignsum_i=k+1^inftyp(1-p)^i-1
&= p(1-p)^k + p(1-p)^k+1 + p(1-p)^k+2 + dots \
&= p(1-p)^k left1+(1-p)+(1-p)^2+ldotsright\
&= p(1-p)^k frac11-(1-p) = (1-p)^kendalign
Added to answer the questions in the comments:
$P(X>k)$ is the probability of $X$ taking values greater than $k$ so:
beginalign
P(X>k) & = P(X=k+1)+P(X=k+2)+P(X=k+3)+dots \
& = p(1-p)^k+1-1 + p(1-p)^k+2-1+ p(1-p)^k+3-1+dots
endalign
This is the same as writing $sum_i=k+1^inftyp(1-p)^i-1$.
$1+(1-p)+(1-p)^2+ldots$ is the geometric series with $a=1$ and $r=1-p$. Plugging them in the formula $fraca1-r$ to get $frac11-(1-p)$.
Tnanks for explanation. Could you maybe also break down how to utilize the geometri series to get to $P(X>k)=sum_i=k+1p(1-p)^i-1$ ?
â user1607
Aug 1 at 9:53
Also how is $1+(1-p)+(1-p)^2+...=frac11-(1-p)$? I appologize if my questions are elementary, by mathematical background is not great.
â user1607
Aug 1 at 10:03
You are welcome. Please see the added explanations.
â Just_to_Answer
Aug 1 at 21:32
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
The main idea is using the geometric series $$sum_i=0^inftya , r^i = fraca1-r$$
$P(X leq k)$ is a finite
sum, while $P(X>k)$ is an infinite series
, specifically a geometric series. So to utilize the geometric series expression, instead of looking at $P(X leq k)$ one looks at the equivalent $1-P(X>k)$.
Then $P(X>k)=sum_i=k+1^inftyp(1-p)^i-1$ simplifies as done in your expression. I personally find it easier to look at the first few terms written out:
beginalignsum_i=k+1^inftyp(1-p)^i-1
&= p(1-p)^k + p(1-p)^k+1 + p(1-p)^k+2 + dots \
&= p(1-p)^k left1+(1-p)+(1-p)^2+ldotsright\
&= p(1-p)^k frac11-(1-p) = (1-p)^kendalign
Added to answer the questions in the comments:
$P(X>k)$ is the probability of $X$ taking values greater than $k$ so:
beginalign
P(X>k) & = P(X=k+1)+P(X=k+2)+P(X=k+3)+dots \
& = p(1-p)^k+1-1 + p(1-p)^k+2-1+ p(1-p)^k+3-1+dots
endalign
This is the same as writing $sum_i=k+1^inftyp(1-p)^i-1$.
$1+(1-p)+(1-p)^2+ldots$ is the geometric series with $a=1$ and $r=1-p$. Plugging them in the formula $fraca1-r$ to get $frac11-(1-p)$.
Tnanks for explanation. Could you maybe also break down how to utilize the geometri series to get to $P(X>k)=sum_i=k+1p(1-p)^i-1$ ?
â user1607
Aug 1 at 9:53
Also how is $1+(1-p)+(1-p)^2+...=frac11-(1-p)$? I appologize if my questions are elementary, by mathematical background is not great.
â user1607
Aug 1 at 10:03
You are welcome. Please see the added explanations.
â Just_to_Answer
Aug 1 at 21:32
add a comment |Â
up vote
1
down vote
accepted
The main idea is using the geometric series $$sum_i=0^inftya , r^i = fraca1-r$$
$P(X leq k)$ is a finite
sum, while $P(X>k)$ is an infinite series
, specifically a geometric series. So to utilize the geometric series expression, instead of looking at $P(X leq k)$ one looks at the equivalent $1-P(X>k)$.
Then $P(X>k)=sum_i=k+1^inftyp(1-p)^i-1$ simplifies as done in your expression. I personally find it easier to look at the first few terms written out:
beginalignsum_i=k+1^inftyp(1-p)^i-1
&= p(1-p)^k + p(1-p)^k+1 + p(1-p)^k+2 + dots \
&= p(1-p)^k left1+(1-p)+(1-p)^2+ldotsright\
&= p(1-p)^k frac11-(1-p) = (1-p)^kendalign
Added to answer the questions in the comments:
$P(X>k)$ is the probability of $X$ taking values greater than $k$ so:
beginalign
P(X>k) & = P(X=k+1)+P(X=k+2)+P(X=k+3)+dots \
& = p(1-p)^k+1-1 + p(1-p)^k+2-1+ p(1-p)^k+3-1+dots
endalign
This is the same as writing $sum_i=k+1^inftyp(1-p)^i-1$.
$1+(1-p)+(1-p)^2+ldots$ is the geometric series with $a=1$ and $r=1-p$. Plugging them in the formula $fraca1-r$ to get $frac11-(1-p)$.
Tnanks for explanation. Could you maybe also break down how to utilize the geometri series to get to $P(X>k)=sum_i=k+1p(1-p)^i-1$ ?
â user1607
Aug 1 at 9:53
Also how is $1+(1-p)+(1-p)^2+...=frac11-(1-p)$? I appologize if my questions are elementary, by mathematical background is not great.
â user1607
Aug 1 at 10:03
You are welcome. Please see the added explanations.
â Just_to_Answer
Aug 1 at 21:32
add a comment |Â
up vote
1
down vote
accepted
up vote
1
down vote
accepted
The main idea is using the geometric series $$sum_i=0^inftya , r^i = fraca1-r$$
$P(X leq k)$ is a finite
sum, while $P(X>k)$ is an infinite series
, specifically a geometric series. So to utilize the geometric series expression, instead of looking at $P(X leq k)$ one looks at the equivalent $1-P(X>k)$.
Then $P(X>k)=sum_i=k+1^inftyp(1-p)^i-1$ simplifies as done in your expression. I personally find it easier to look at the first few terms written out:
beginalignsum_i=k+1^inftyp(1-p)^i-1
&= p(1-p)^k + p(1-p)^k+1 + p(1-p)^k+2 + dots \
&= p(1-p)^k left1+(1-p)+(1-p)^2+ldotsright\
&= p(1-p)^k frac11-(1-p) = (1-p)^kendalign
Added to answer the questions in the comments:
$P(X>k)$ is the probability of $X$ taking values greater than $k$ so:
beginalign
P(X>k) & = P(X=k+1)+P(X=k+2)+P(X=k+3)+dots \
& = p(1-p)^k+1-1 + p(1-p)^k+2-1+ p(1-p)^k+3-1+dots
endalign
This is the same as writing $sum_i=k+1^inftyp(1-p)^i-1$.
$1+(1-p)+(1-p)^2+ldots$ is the geometric series with $a=1$ and $r=1-p$. Plugging them in the formula $fraca1-r$ to get $frac11-(1-p)$.
The main idea is using the geometric series $$sum_i=0^inftya , r^i = fraca1-r$$
$P(X leq k)$ is a finite
sum, while $P(X>k)$ is an infinite series
, specifically a geometric series. So to utilize the geometric series expression, instead of looking at $P(X leq k)$ one looks at the equivalent $1-P(X>k)$.
Then $P(X>k)=sum_i=k+1^inftyp(1-p)^i-1$ simplifies as done in your expression. I personally find it easier to look at the first few terms written out:
beginalignsum_i=k+1^inftyp(1-p)^i-1
&= p(1-p)^k + p(1-p)^k+1 + p(1-p)^k+2 + dots \
&= p(1-p)^k left1+(1-p)+(1-p)^2+ldotsright\
&= p(1-p)^k frac11-(1-p) = (1-p)^kendalign
Added to answer the questions in the comments:
$P(X>k)$ is the probability of $X$ taking values greater than $k$ so:
beginalign
P(X>k) & = P(X=k+1)+P(X=k+2)+P(X=k+3)+dots \
& = p(1-p)^k+1-1 + p(1-p)^k+2-1+ p(1-p)^k+3-1+dots
endalign
This is the same as writing $sum_i=k+1^inftyp(1-p)^i-1$.
$1+(1-p)+(1-p)^2+ldots$ is the geometric series with $a=1$ and $r=1-p$. Plugging them in the formula $fraca1-r$ to get $frac11-(1-p)$.
edited Aug 1 at 21:31
answered Jul 31 at 21:28
Just_to_Answer
65317
65317
Tnanks for explanation. Could you maybe also break down how to utilize the geometri series to get to $P(X>k)=sum_i=k+1p(1-p)^i-1$ ?
â user1607
Aug 1 at 9:53
Also how is $1+(1-p)+(1-p)^2+...=frac11-(1-p)$? I appologize if my questions are elementary, by mathematical background is not great.
â user1607
Aug 1 at 10:03
You are welcome. Please see the added explanations.
â Just_to_Answer
Aug 1 at 21:32
add a comment |Â
Tnanks for explanation. Could you maybe also break down how to utilize the geometri series to get to $P(X>k)=sum_i=k+1p(1-p)^i-1$ ?
â user1607
Aug 1 at 9:53
Also how is $1+(1-p)+(1-p)^2+...=frac11-(1-p)$? I appologize if my questions are elementary, by mathematical background is not great.
â user1607
Aug 1 at 10:03
You are welcome. Please see the added explanations.
â Just_to_Answer
Aug 1 at 21:32
Tnanks for explanation. Could you maybe also break down how to utilize the geometri series to get to $P(X>k)=sum_i=k+1p(1-p)^i-1$ ?
â user1607
Aug 1 at 9:53
Tnanks for explanation. Could you maybe also break down how to utilize the geometri series to get to $P(X>k)=sum_i=k+1p(1-p)^i-1$ ?
â user1607
Aug 1 at 9:53
Also how is $1+(1-p)+(1-p)^2+...=frac11-(1-p)$? I appologize if my questions are elementary, by mathematical background is not great.
â user1607
Aug 1 at 10:03
Also how is $1+(1-p)+(1-p)^2+...=frac11-(1-p)$? I appologize if my questions are elementary, by mathematical background is not great.
â user1607
Aug 1 at 10:03
You are welcome. Please see the added explanations.
â Just_to_Answer
Aug 1 at 21:32
You are welcome. Please see the added explanations.
â Just_to_Answer
Aug 1 at 21:32
add a comment |Â
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