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











Your Answer





StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");

StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});

function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});


}
});














draft saved

draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3046406%2fprobability-remains-same-why%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown

























1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






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
















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


















draft saved

draft discarded




















































Thanks for contributing an answer to Mathematics Stack Exchange!


  • Please be sure to answer the question. Provide details and share your research!

But avoid



  • Asking for help, clarification, or responding to other answers.

  • Making statements based on opinion; back them up with references or personal experience.


Use MathJax to format equations. MathJax reference.


To learn more, see our tips on writing great answers.




draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3046406%2fprobability-remains-same-why%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown





















































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown

































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown







Popular posts from this blog

Le Mesnil-Réaume

Ida-Boy-Ed-Garten

web3.py web3.isConnected() returns false always