Probability remains same Why?












4












$begingroup$



A box has $m$ black and $n$ white balls. A ball is drawn at random and put back with $k$ additional balls of the same colour as that of the drawn ball. Now a ball is drawn again. Find the probability that it is a white ball.




I got the answer $frac{n}{m+n}$.



I just want to understand why it's not dependent on $k$.










share|cite|improve this question











$endgroup$












  • $begingroup$
    This problem with different numbers was posted a few minutes ago and has already some answers. It is important that you attempt to solve this though. From your tag I assume you already know that is solved using conditional probability.
    $endgroup$
    – Test123
    Dec 19 '18 at 13:49








  • 1




    $begingroup$
    Possible duplicate of probability - getting a red ball in thenext draw is
    $endgroup$
    – Test123
    Dec 19 '18 at 13:50










  • $begingroup$
    Does the bucket now contain $n+m+K$ balls in total?
    $endgroup$
    – user334732
    Dec 19 '18 at 16:53








  • 1




    $begingroup$
    Strongly disagree with those voting to close as duplicates. The OP here knows how to do the problem, and is instead asking about why there's no dependence on $k$, which isn't addressed by any of the answers in the supposed duplicate.
    $endgroup$
    – jgon
    Dec 19 '18 at 16:58










  • $begingroup$
    I edited your question for formatting. You were inconsistent with the capitalization of $k$, so I chose lower case $k$ to make it consistent. Feel free to change that if you intended $k$ to be capital.
    $endgroup$
    – jgon
    Dec 19 '18 at 17:02
















4












$begingroup$



A box has $m$ black and $n$ white balls. A ball is drawn at random and put back with $k$ additional balls of the same colour as that of the drawn ball. Now a ball is drawn again. Find the probability that it is a white ball.




I got the answer $frac{n}{m+n}$.



I just want to understand why it's not dependent on $k$.










share|cite|improve this question











$endgroup$












  • $begingroup$
    This problem with different numbers was posted a few minutes ago and has already some answers. It is important that you attempt to solve this though. From your tag I assume you already know that is solved using conditional probability.
    $endgroup$
    – Test123
    Dec 19 '18 at 13:49








  • 1




    $begingroup$
    Possible duplicate of probability - getting a red ball in thenext draw is
    $endgroup$
    – Test123
    Dec 19 '18 at 13:50










  • $begingroup$
    Does the bucket now contain $n+m+K$ balls in total?
    $endgroup$
    – user334732
    Dec 19 '18 at 16:53








  • 1




    $begingroup$
    Strongly disagree with those voting to close as duplicates. The OP here knows how to do the problem, and is instead asking about why there's no dependence on $k$, which isn't addressed by any of the answers in the supposed duplicate.
    $endgroup$
    – jgon
    Dec 19 '18 at 16:58










  • $begingroup$
    I edited your question for formatting. You were inconsistent with the capitalization of $k$, so I chose lower case $k$ to make it consistent. Feel free to change that if you intended $k$ to be capital.
    $endgroup$
    – jgon
    Dec 19 '18 at 17:02














4












4








4


1



$begingroup$



A box has $m$ black and $n$ white balls. A ball is drawn at random and put back with $k$ additional balls of the same colour as that of the drawn ball. Now a ball is drawn again. Find the probability that it is a white ball.




I got the answer $frac{n}{m+n}$.



I just want to understand why it's not dependent on $k$.










share|cite|improve this question











$endgroup$





A box has $m$ black and $n$ white balls. A ball is drawn at random and put back with $k$ additional balls of the same colour as that of the drawn ball. Now a ball is drawn again. Find the probability that it is a white ball.




I got the answer $frac{n}{m+n}$.



I just want to understand why it's not dependent on $k$.







probability probability-theory conditional-probability elementary-probability






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 19 '18 at 17:01









jgon

15.7k32143




15.7k32143










asked Dec 19 '18 at 13:45









Maths_RocksMaths_Rocks

30417




30417












  • $begingroup$
    This problem with different numbers was posted a few minutes ago and has already some answers. It is important that you attempt to solve this though. From your tag I assume you already know that is solved using conditional probability.
    $endgroup$
    – Test123
    Dec 19 '18 at 13:49








  • 1




    $begingroup$
    Possible duplicate of probability - getting a red ball in thenext draw is
    $endgroup$
    – Test123
    Dec 19 '18 at 13:50










  • $begingroup$
    Does the bucket now contain $n+m+K$ balls in total?
    $endgroup$
    – user334732
    Dec 19 '18 at 16:53








  • 1




    $begingroup$
    Strongly disagree with those voting to close as duplicates. The OP here knows how to do the problem, and is instead asking about why there's no dependence on $k$, which isn't addressed by any of the answers in the supposed duplicate.
    $endgroup$
    – jgon
    Dec 19 '18 at 16:58










  • $begingroup$
    I edited your question for formatting. You were inconsistent with the capitalization of $k$, so I chose lower case $k$ to make it consistent. Feel free to change that if you intended $k$ to be capital.
    $endgroup$
    – jgon
    Dec 19 '18 at 17:02


















  • $begingroup$
    This problem with different numbers was posted a few minutes ago and has already some answers. It is important that you attempt to solve this though. From your tag I assume you already know that is solved using conditional probability.
    $endgroup$
    – Test123
    Dec 19 '18 at 13:49








  • 1




    $begingroup$
    Possible duplicate of probability - getting a red ball in thenext draw is
    $endgroup$
    – Test123
    Dec 19 '18 at 13:50










  • $begingroup$
    Does the bucket now contain $n+m+K$ balls in total?
    $endgroup$
    – user334732
    Dec 19 '18 at 16:53








  • 1




    $begingroup$
    Strongly disagree with those voting to close as duplicates. The OP here knows how to do the problem, and is instead asking about why there's no dependence on $k$, which isn't addressed by any of the answers in the supposed duplicate.
    $endgroup$
    – jgon
    Dec 19 '18 at 16:58










  • $begingroup$
    I edited your question for formatting. You were inconsistent with the capitalization of $k$, so I chose lower case $k$ to make it consistent. Feel free to change that if you intended $k$ to be capital.
    $endgroup$
    – jgon
    Dec 19 '18 at 17:02
















$begingroup$
This problem with different numbers was posted a few minutes ago and has already some answers. It is important that you attempt to solve this though. From your tag I assume you already know that is solved using conditional probability.
$endgroup$
– Test123
Dec 19 '18 at 13:49






$begingroup$
This problem with different numbers was posted a few minutes ago and has already some answers. It is important that you attempt to solve this though. From your tag I assume you already know that is solved using conditional probability.
$endgroup$
– Test123
Dec 19 '18 at 13:49






1




1




$begingroup$
Possible duplicate of probability - getting a red ball in thenext draw is
$endgroup$
– Test123
Dec 19 '18 at 13:50




$begingroup$
Possible duplicate of probability - getting a red ball in thenext draw is
$endgroup$
– Test123
Dec 19 '18 at 13:50












$begingroup$
Does the bucket now contain $n+m+K$ balls in total?
$endgroup$
– user334732
Dec 19 '18 at 16:53






$begingroup$
Does the bucket now contain $n+m+K$ balls in total?
$endgroup$
– user334732
Dec 19 '18 at 16:53






1




1




$begingroup$
Strongly disagree with those voting to close as duplicates. The OP here knows how to do the problem, and is instead asking about why there's no dependence on $k$, which isn't addressed by any of the answers in the supposed duplicate.
$endgroup$
– jgon
Dec 19 '18 at 16:58




$begingroup$
Strongly disagree with those voting to close as duplicates. The OP here knows how to do the problem, and is instead asking about why there's no dependence on $k$, which isn't addressed by any of the answers in the supposed duplicate.
$endgroup$
– jgon
Dec 19 '18 at 16:58












$begingroup$
I edited your question for formatting. You were inconsistent with the capitalization of $k$, so I chose lower case $k$ to make it consistent. Feel free to change that if you intended $k$ to be capital.
$endgroup$
– jgon
Dec 19 '18 at 17:02




$begingroup$
I edited your question for formatting. You were inconsistent with the capitalization of $k$, so I chose lower case $k$ to make it consistent. Feel free to change that if you intended $k$ to be capital.
$endgroup$
– jgon
Dec 19 '18 at 17:02










1 Answer
1






active

oldest

votes


















3












$begingroup$

Look at this probability from the other side. Consider two disjoint events.
Event $B_1$ means that the second ball was in the urn from the very beginning. Event $B_2$ means that the second ball is taken out of those balls that were added to the urn. Event $A$ means that the second ball is white. Consider conditional probabilities $mathbb P(Amid B_1)$ and $mathbb P(Amid B_2)$:
$$mathbb P(Amid B_1) = frac{n}{n+m}$$
since no ball added is taken into account when $B_1$ happens.
And also
$$mathbb P(Amid B_2) = frac{n}{n+m}.$$
This is the probability of the second ball to be white if it is selected from $k$ balls added. In other words, this is the probability that $k$ white balls are added into the urn. This is exactly the probability that the first ball was white.



Since conditional probabilities of $A$ under both $B_1$ and $B_2$ are the same, the probabilities of $B_1$ and $B_2$ are irrelevant and
$$mathbb P(A) = mathbb P(B_1)frac{n}{n+m}+mathbb P(B_2)frac{n}{n+m}=frac{n}{n+m}.$$
Note that only $mathbb P(B_1)$ and $mathbb P(B_2)$ depend on $k$.






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Very nice! (+1)
    $endgroup$
    – jgon
    Dec 19 '18 at 16:59










  • $begingroup$
    Thanx Nch for the help
    $endgroup$
    – Maths_Rocks
    Dec 19 '18 at 17:05











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1 Answer
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1 Answer
1






active

oldest

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active

oldest

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active

oldest

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3












$begingroup$

Look at this probability from the other side. Consider two disjoint events.
Event $B_1$ means that the second ball was in the urn from the very beginning. Event $B_2$ means that the second ball is taken out of those balls that were added to the urn. Event $A$ means that the second ball is white. Consider conditional probabilities $mathbb P(Amid B_1)$ and $mathbb P(Amid B_2)$:
$$mathbb P(Amid B_1) = frac{n}{n+m}$$
since no ball added is taken into account when $B_1$ happens.
And also
$$mathbb P(Amid B_2) = frac{n}{n+m}.$$
This is the probability of the second ball to be white if it is selected from $k$ balls added. In other words, this is the probability that $k$ white balls are added into the urn. This is exactly the probability that the first ball was white.



Since conditional probabilities of $A$ under both $B_1$ and $B_2$ are the same, the probabilities of $B_1$ and $B_2$ are irrelevant and
$$mathbb P(A) = mathbb P(B_1)frac{n}{n+m}+mathbb P(B_2)frac{n}{n+m}=frac{n}{n+m}.$$
Note that only $mathbb P(B_1)$ and $mathbb P(B_2)$ depend on $k$.






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Very nice! (+1)
    $endgroup$
    – jgon
    Dec 19 '18 at 16:59










  • $begingroup$
    Thanx Nch for the help
    $endgroup$
    – Maths_Rocks
    Dec 19 '18 at 17:05
















3












$begingroup$

Look at this probability from the other side. Consider two disjoint events.
Event $B_1$ means that the second ball was in the urn from the very beginning. Event $B_2$ means that the second ball is taken out of those balls that were added to the urn. Event $A$ means that the second ball is white. Consider conditional probabilities $mathbb P(Amid B_1)$ and $mathbb P(Amid B_2)$:
$$mathbb P(Amid B_1) = frac{n}{n+m}$$
since no ball added is taken into account when $B_1$ happens.
And also
$$mathbb P(Amid B_2) = frac{n}{n+m}.$$
This is the probability of the second ball to be white if it is selected from $k$ balls added. In other words, this is the probability that $k$ white balls are added into the urn. This is exactly the probability that the first ball was white.



Since conditional probabilities of $A$ under both $B_1$ and $B_2$ are the same, the probabilities of $B_1$ and $B_2$ are irrelevant and
$$mathbb P(A) = mathbb P(B_1)frac{n}{n+m}+mathbb P(B_2)frac{n}{n+m}=frac{n}{n+m}.$$
Note that only $mathbb P(B_1)$ and $mathbb P(B_2)$ depend on $k$.






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Very nice! (+1)
    $endgroup$
    – jgon
    Dec 19 '18 at 16:59










  • $begingroup$
    Thanx Nch for the help
    $endgroup$
    – Maths_Rocks
    Dec 19 '18 at 17:05














3












3








3





$begingroup$

Look at this probability from the other side. Consider two disjoint events.
Event $B_1$ means that the second ball was in the urn from the very beginning. Event $B_2$ means that the second ball is taken out of those balls that were added to the urn. Event $A$ means that the second ball is white. Consider conditional probabilities $mathbb P(Amid B_1)$ and $mathbb P(Amid B_2)$:
$$mathbb P(Amid B_1) = frac{n}{n+m}$$
since no ball added is taken into account when $B_1$ happens.
And also
$$mathbb P(Amid B_2) = frac{n}{n+m}.$$
This is the probability of the second ball to be white if it is selected from $k$ balls added. In other words, this is the probability that $k$ white balls are added into the urn. This is exactly the probability that the first ball was white.



Since conditional probabilities of $A$ under both $B_1$ and $B_2$ are the same, the probabilities of $B_1$ and $B_2$ are irrelevant and
$$mathbb P(A) = mathbb P(B_1)frac{n}{n+m}+mathbb P(B_2)frac{n}{n+m}=frac{n}{n+m}.$$
Note that only $mathbb P(B_1)$ and $mathbb P(B_2)$ depend on $k$.






share|cite|improve this answer











$endgroup$



Look at this probability from the other side. Consider two disjoint events.
Event $B_1$ means that the second ball was in the urn from the very beginning. Event $B_2$ means that the second ball is taken out of those balls that were added to the urn. Event $A$ means that the second ball is white. Consider conditional probabilities $mathbb P(Amid B_1)$ and $mathbb P(Amid B_2)$:
$$mathbb P(Amid B_1) = frac{n}{n+m}$$
since no ball added is taken into account when $B_1$ happens.
And also
$$mathbb P(Amid B_2) = frac{n}{n+m}.$$
This is the probability of the second ball to be white if it is selected from $k$ balls added. In other words, this is the probability that $k$ white balls are added into the urn. This is exactly the probability that the first ball was white.



Since conditional probabilities of $A$ under both $B_1$ and $B_2$ are the same, the probabilities of $B_1$ and $B_2$ are irrelevant and
$$mathbb P(A) = mathbb P(B_1)frac{n}{n+m}+mathbb P(B_2)frac{n}{n+m}=frac{n}{n+m}.$$
Note that only $mathbb P(B_1)$ and $mathbb P(B_2)$ depend on $k$.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Dec 20 '18 at 0:34

























answered Dec 19 '18 at 16:43









NChNCh

6,8663825




6,8663825












  • $begingroup$
    Very nice! (+1)
    $endgroup$
    – jgon
    Dec 19 '18 at 16:59










  • $begingroup$
    Thanx Nch for the help
    $endgroup$
    – Maths_Rocks
    Dec 19 '18 at 17:05


















  • $begingroup$
    Very nice! (+1)
    $endgroup$
    – jgon
    Dec 19 '18 at 16:59










  • $begingroup$
    Thanx Nch for the help
    $endgroup$
    – Maths_Rocks
    Dec 19 '18 at 17:05
















$begingroup$
Very nice! (+1)
$endgroup$
– jgon
Dec 19 '18 at 16:59




$begingroup$
Very nice! (+1)
$endgroup$
– jgon
Dec 19 '18 at 16:59












$begingroup$
Thanx Nch for the help
$endgroup$
– Maths_Rocks
Dec 19 '18 at 17:05




$begingroup$
Thanx Nch for the help
$endgroup$
– Maths_Rocks
Dec 19 '18 at 17:05


















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