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Back in high school we used to play a simple gambling game with cards. Two people would randomly choose a card from a deck of $52$ cards. The person with a higher value card (Ace being the strongest and two the weakest) would then be the winner.

In this seemingly simple scenario is it possible to calculate the probability of a win? That is the first person choosing a higher value card. (I believe a similar line of thought would hold for the second person winning?)

Although appearing quite straightforward at first glance I couldn't figure out how to even get started.

Any help or ideas would be appreciated. Thank you!

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    $\begingroup$ Intuitively, what do you think the answer is? $\endgroup$ Commented Mar 1, 2021 at 8:56
  • $\begingroup$ With information you give, the probability must be $1/2$. :) $\endgroup$
    – NN2
    Commented Mar 1, 2021 at 8:56
  • $\begingroup$ Also what about a draw? $\endgroup$
    – Math Lover
    Commented Mar 1, 2021 at 8:57
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    $\begingroup$ Intuitively I was thinking that it should be close to 1/2, however as Math Lover pointed out there is also the possibility of a draw. Plus wouldn't the first draw and the second would have a different set of advantages? $\endgroup$
    – ritvik1512
    Commented Mar 1, 2021 at 9:02
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    $\begingroup$ The probability of a draw is straightforward. It is $\frac{3}{51} = \frac{1}{17}$. Probability of any of them winning is $\frac{8}{17}$. $\endgroup$
    – Math Lover
    Commented Mar 1, 2021 at 9:07

2 Answers 2

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Let $X_{i}$ denote the value of the $i$-th draw (from 1 to 13). Conditionally on $X_1$, $$ \mathsf{P}(X_2>X_1\mid X_1=v)=\frac{4(13-v)}{51}. $$ Thus, the probability that the second player wins is $$ \sum_{v=1}^{13}\mathsf{P}(X_2>X_1\mid X_1=v)\mathsf{P}(X_1=v)=\sum_{v=1}^{13} \frac{4(13-v)}{51}\times \frac{4}{52}=\frac{8}{17}. $$ Similarly, $$ \mathsf{P}(X_2<X_1\mid X_1=v)=\frac{4(v-1)}{51}, $$ and so, the probability that the first player wins is also $8/17$.

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    $\begingroup$ I guess it turned out to be quite simple after all. Thank you! $\endgroup$
    – ritvik1512
    Commented Mar 1, 2021 at 9:32
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You can make it even simpler by looking at it in the following way:

For any card drawn by the first person, there is a Pr of $\frac 3 {51}$ for a draw, hence a Pr of $\frac{48}{51}$ that it results in a win for one or the other.

In two randomly drawn cards, each will have an equal probability of being of higher value,

thus P(first person wins)= P(second person wins)$=\left(\frac1 2 \cdot \frac{48}{51}\right) = \frac{24}{51} = \frac8 {17}$

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    $\begingroup$ The underlying ideas are good and the answer is right, but as written this answer isn't a rigorous way of translating the ideas to the answer. $\endgroup$ Commented Mar 1, 2021 at 17:28
  • $\begingroup$ @Greg Martin: I have changed the presentation to make it more rigorous $\endgroup$ Commented Mar 1, 2021 at 19:25

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