Probability that exactly 2 balls are white
Clash Royale CLAN TAG#URR8PPP
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What I did.
I let $X$ be number of withdraws before $x$ white balls. We can call our succes in this case to be gettin a white ball and probability is of course $p = frac36 = frac12$. So we see $X$ is negative binomial r.v with $n=4$ trials. So,
$$ P(X=2) = 4 - 1 choose 2 - 1 left( frac12 right)^2 left( frac12 right)^2 $$
Which gives
$$ P(X=2) = boxeddfrac316 $$
Am I interpreting the problem correctly?
probability
add a comment |Â
up vote
2
down vote
favorite
What I did.
I let $X$ be number of withdraws before $x$ white balls. We can call our succes in this case to be gettin a white ball and probability is of course $p = frac36 = frac12$. So we see $X$ is negative binomial r.v with $n=4$ trials. So,
$$ P(X=2) = 4 - 1 choose 2 - 1 left( frac12 right)^2 left( frac12 right)^2 $$
Which gives
$$ P(X=2) = boxeddfrac316 $$
Am I interpreting the problem correctly?
probability
$LaTeX$ Tip: use Bigr( frac 12 Bigr) to get $Bigr( frac 12 Bigr)$
â Mohammad Zuhair Khan
1 hour ago
add a comment |Â
up vote
2
down vote
favorite
up vote
2
down vote
favorite
What I did.
I let $X$ be number of withdraws before $x$ white balls. We can call our succes in this case to be gettin a white ball and probability is of course $p = frac36 = frac12$. So we see $X$ is negative binomial r.v with $n=4$ trials. So,
$$ P(X=2) = 4 - 1 choose 2 - 1 left( frac12 right)^2 left( frac12 right)^2 $$
Which gives
$$ P(X=2) = boxeddfrac316 $$
Am I interpreting the problem correctly?
probability
What I did.
I let $X$ be number of withdraws before $x$ white balls. We can call our succes in this case to be gettin a white ball and probability is of course $p = frac36 = frac12$. So we see $X$ is negative binomial r.v with $n=4$ trials. So,
$$ P(X=2) = 4 - 1 choose 2 - 1 left( frac12 right)^2 left( frac12 right)^2 $$
Which gives
$$ P(X=2) = boxeddfrac316 $$
Am I interpreting the problem correctly?
probability
probability
edited 40 mins ago
Key Flex
5,450828
5,450828
asked 1 hour ago
Neymar
30312
30312
$LaTeX$ Tip: use Bigr( frac 12 Bigr) to get $Bigr( frac 12 Bigr)$
â Mohammad Zuhair Khan
1 hour ago
add a comment |Â
$LaTeX$ Tip: use Bigr( frac 12 Bigr) to get $Bigr( frac 12 Bigr)$
â Mohammad Zuhair Khan
1 hour ago
$LaTeX$ Tip: use Bigr( frac 12 Bigr) to get $Bigr( frac 12 Bigr)$
â Mohammad Zuhair Khan
1 hour ago
$LaTeX$ Tip: use Bigr( frac 12 Bigr) to get $Bigr( frac 12 Bigr)$
â Mohammad Zuhair Khan
1 hour ago
add a comment |Â
3 Answers
3
active
oldest
votes
up vote
1
down vote
accepted
First, note that we have a finite number of trials, $n = 4 ($although the game goes on forever, we are only concerned with the first $4$ balls.$)$ Each trial is a Bernoulli trial - that is, each trial has only one of two outcomes: white and not white. Define a success as the event that a white ball is drawn. Then the probability of success $p$ is $p =dfrac12$. Since each ball is replaced after it is drawn, we have sampling with replacement, and thus independence.
Since we are dealing with a finite number of independent Bernoulli trials with a constant probability of success $p$, we use the binomial distribution
Let $X$ be the number of white balls (successes) that appear in $n = 4$ trials. Then we want to find $P(X=2)$
$$P(X=k)=dbinomnkp^k(1-p)^n-k$$
Then,
$$P(X=2)=dbinom42left(dfrac12right)^2left(1-dfrac12right)^4-2$$
$$=dbinom42left(dfrac12right)^2left(dfrac12right)^2$$
$$=dfrac38=0.375$$
add a comment |Â
up vote
1
down vote
As far as I understand your solution, you are computing the probability that it takes $4$ draws to get $2$ white. This is not what the question asked.
You should simply be using the binomial distribution, and the answer is $frac616=frac38$.
Oh! So, this is bernoulli trials and we have 4 trials and we call $X$ be the number of white balls and so $P(X=2) = 4 choose 2 (1/2)^2 (1/2)^2 = 6/16 = 3/8 $. Is this correct now?
â Neymar
58 mins ago
$checkmark !$
â David
54 mins ago
I dont know why I was thinking on negtive binomial. I always get confused with the wording of this problems.
â Neymar
53 mins ago
add a comment |Â
up vote
1
down vote
$P(2W|4) = binom42cdot (frac12)^4$
$ = 6cdot frac116 = frac38$
add a comment |Â
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
First, note that we have a finite number of trials, $n = 4 ($although the game goes on forever, we are only concerned with the first $4$ balls.$)$ Each trial is a Bernoulli trial - that is, each trial has only one of two outcomes: white and not white. Define a success as the event that a white ball is drawn. Then the probability of success $p$ is $p =dfrac12$. Since each ball is replaced after it is drawn, we have sampling with replacement, and thus independence.
Since we are dealing with a finite number of independent Bernoulli trials with a constant probability of success $p$, we use the binomial distribution
Let $X$ be the number of white balls (successes) that appear in $n = 4$ trials. Then we want to find $P(X=2)$
$$P(X=k)=dbinomnkp^k(1-p)^n-k$$
Then,
$$P(X=2)=dbinom42left(dfrac12right)^2left(1-dfrac12right)^4-2$$
$$=dbinom42left(dfrac12right)^2left(dfrac12right)^2$$
$$=dfrac38=0.375$$
add a comment |Â
up vote
1
down vote
accepted
First, note that we have a finite number of trials, $n = 4 ($although the game goes on forever, we are only concerned with the first $4$ balls.$)$ Each trial is a Bernoulli trial - that is, each trial has only one of two outcomes: white and not white. Define a success as the event that a white ball is drawn. Then the probability of success $p$ is $p =dfrac12$. Since each ball is replaced after it is drawn, we have sampling with replacement, and thus independence.
Since we are dealing with a finite number of independent Bernoulli trials with a constant probability of success $p$, we use the binomial distribution
Let $X$ be the number of white balls (successes) that appear in $n = 4$ trials. Then we want to find $P(X=2)$
$$P(X=k)=dbinomnkp^k(1-p)^n-k$$
Then,
$$P(X=2)=dbinom42left(dfrac12right)^2left(1-dfrac12right)^4-2$$
$$=dbinom42left(dfrac12right)^2left(dfrac12right)^2$$
$$=dfrac38=0.375$$
add a comment |Â
up vote
1
down vote
accepted
up vote
1
down vote
accepted
First, note that we have a finite number of trials, $n = 4 ($although the game goes on forever, we are only concerned with the first $4$ balls.$)$ Each trial is a Bernoulli trial - that is, each trial has only one of two outcomes: white and not white. Define a success as the event that a white ball is drawn. Then the probability of success $p$ is $p =dfrac12$. Since each ball is replaced after it is drawn, we have sampling with replacement, and thus independence.
Since we are dealing with a finite number of independent Bernoulli trials with a constant probability of success $p$, we use the binomial distribution
Let $X$ be the number of white balls (successes) that appear in $n = 4$ trials. Then we want to find $P(X=2)$
$$P(X=k)=dbinomnkp^k(1-p)^n-k$$
Then,
$$P(X=2)=dbinom42left(dfrac12right)^2left(1-dfrac12right)^4-2$$
$$=dbinom42left(dfrac12right)^2left(dfrac12right)^2$$
$$=dfrac38=0.375$$
First, note that we have a finite number of trials, $n = 4 ($although the game goes on forever, we are only concerned with the first $4$ balls.$)$ Each trial is a Bernoulli trial - that is, each trial has only one of two outcomes: white and not white. Define a success as the event that a white ball is drawn. Then the probability of success $p$ is $p =dfrac12$. Since each ball is replaced after it is drawn, we have sampling with replacement, and thus independence.
Since we are dealing with a finite number of independent Bernoulli trials with a constant probability of success $p$, we use the binomial distribution
Let $X$ be the number of white balls (successes) that appear in $n = 4$ trials. Then we want to find $P(X=2)$
$$P(X=k)=dbinomnkp^k(1-p)^n-k$$
Then,
$$P(X=2)=dbinom42left(dfrac12right)^2left(1-dfrac12right)^4-2$$
$$=dbinom42left(dfrac12right)^2left(dfrac12right)^2$$
$$=dfrac38=0.375$$
answered 54 mins ago
Key Flex
5,450828
5,450828
add a comment |Â
add a comment |Â
up vote
1
down vote
As far as I understand your solution, you are computing the probability that it takes $4$ draws to get $2$ white. This is not what the question asked.
You should simply be using the binomial distribution, and the answer is $frac616=frac38$.
Oh! So, this is bernoulli trials and we have 4 trials and we call $X$ be the number of white balls and so $P(X=2) = 4 choose 2 (1/2)^2 (1/2)^2 = 6/16 = 3/8 $. Is this correct now?
â Neymar
58 mins ago
$checkmark !$
â David
54 mins ago
I dont know why I was thinking on negtive binomial. I always get confused with the wording of this problems.
â Neymar
53 mins ago
add a comment |Â
up vote
1
down vote
As far as I understand your solution, you are computing the probability that it takes $4$ draws to get $2$ white. This is not what the question asked.
You should simply be using the binomial distribution, and the answer is $frac616=frac38$.
Oh! So, this is bernoulli trials and we have 4 trials and we call $X$ be the number of white balls and so $P(X=2) = 4 choose 2 (1/2)^2 (1/2)^2 = 6/16 = 3/8 $. Is this correct now?
â Neymar
58 mins ago
$checkmark !$
â David
54 mins ago
I dont know why I was thinking on negtive binomial. I always get confused with the wording of this problems.
â Neymar
53 mins ago
add a comment |Â
up vote
1
down vote
up vote
1
down vote
As far as I understand your solution, you are computing the probability that it takes $4$ draws to get $2$ white. This is not what the question asked.
You should simply be using the binomial distribution, and the answer is $frac616=frac38$.
As far as I understand your solution, you are computing the probability that it takes $4$ draws to get $2$ white. This is not what the question asked.
You should simply be using the binomial distribution, and the answer is $frac616=frac38$.
answered 1 hour ago
David
66.5k663125
66.5k663125
Oh! So, this is bernoulli trials and we have 4 trials and we call $X$ be the number of white balls and so $P(X=2) = 4 choose 2 (1/2)^2 (1/2)^2 = 6/16 = 3/8 $. Is this correct now?
â Neymar
58 mins ago
$checkmark !$
â David
54 mins ago
I dont know why I was thinking on negtive binomial. I always get confused with the wording of this problems.
â Neymar
53 mins ago
add a comment |Â
Oh! So, this is bernoulli trials and we have 4 trials and we call $X$ be the number of white balls and so $P(X=2) = 4 choose 2 (1/2)^2 (1/2)^2 = 6/16 = 3/8 $. Is this correct now?
â Neymar
58 mins ago
$checkmark !$
â David
54 mins ago
I dont know why I was thinking on negtive binomial. I always get confused with the wording of this problems.
â Neymar
53 mins ago
Oh! So, this is bernoulli trials and we have 4 trials and we call $X$ be the number of white balls and so $P(X=2) = 4 choose 2 (1/2)^2 (1/2)^2 = 6/16 = 3/8 $. Is this correct now?
â Neymar
58 mins ago
Oh! So, this is bernoulli trials and we have 4 trials and we call $X$ be the number of white balls and so $P(X=2) = 4 choose 2 (1/2)^2 (1/2)^2 = 6/16 = 3/8 $. Is this correct now?
â Neymar
58 mins ago
$checkmark !$
â David
54 mins ago
$checkmark !$
â David
54 mins ago
I dont know why I was thinking on negtive binomial. I always get confused with the wording of this problems.
â Neymar
53 mins ago
I dont know why I was thinking on negtive binomial. I always get confused with the wording of this problems.
â Neymar
53 mins ago
add a comment |Â
up vote
1
down vote
$P(2W|4) = binom42cdot (frac12)^4$
$ = 6cdot frac116 = frac38$
add a comment |Â
up vote
1
down vote
$P(2W|4) = binom42cdot (frac12)^4$
$ = 6cdot frac116 = frac38$
add a comment |Â
up vote
1
down vote
up vote
1
down vote
$P(2W|4) = binom42cdot (frac12)^4$
$ = 6cdot frac116 = frac38$
$P(2W|4) = binom42cdot (frac12)^4$
$ = 6cdot frac116 = frac38$
answered 1 hour ago
Phil H
2,9742311
2,9742311
add a comment |Â
add a comment |Â
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$LaTeX$ Tip: use Bigr( frac 12 Bigr) to get $Bigr( frac 12 Bigr)$
â Mohammad Zuhair Khan
1 hour ago