What is $\Bbb E(X)$?

98 Views Asked by At

Let there be $100$ balls in a box out of which $50$ are red and $50$ are green. Pick $75$ balls at random from the box and throw them away. Now pick one ball at random from the remaining balls in the box. Let $X$ be the random variable which takes the value $100$ when the ball drawn is red in colour and takes the value $25$ if the ball drawn is green in colour. Find the expectation $\Bbb E(X).$

My attempt $:$ Let $Y$ denote the number of red balls thrown away. Then the number of green balls thrown away is $75-Y.$ Clearly $Y \geq 25.$ So \begin{align*} \Bbb P(X=100) & = \sum\limits_{n=25}^{49} \Bbb P(X=100 \mid Y=n)\ \Bbb P(Y=n) \\ & = \sum\limits_{n=25}^{49} \frac {\binom {50-n} {1}} {\binom {25} {1}} \times \frac {\binom {50} {n}} {\binom {100} {n}} \end{align*} Similarly \begin{align*} \Bbb P(X=25) & = \sum\limits_{n=25}^{49} \Bbb P(X=25 \mid (75-Y) = n)\ \Bbb P((75-Y) = n) \\ & = \sum\limits_{n=25}^{49} \Bbb P(X=25 \mid Y = 75-n)\ \Bbb P(Y = 75-n) \\ & = \sum\limits_{n=25}^{49} \frac {\binom {50-n} {1}} {\binom {25} {1}} \times \frac {\binom {50} {75-n}} {\binom {100} {75-n}} \end{align*}

Then the required expectation would be $$100\ \Bbb P(X=100) + 25\ \Bbb P(X=25).$$ But the computation is very tough. Is there any simpler way to approach the problem?

Any help will be highly appreciated. Thank you very much.

1

There are 1 best solutions below

11
On

It seems to me that red and green are indistinguishable in this scenario. Whatever the probability of picking a red ball is, it must be equal to the probability of picking a green ball. So $$P(X=100) = P(X=25) = 1/2$$

Which implies

$$E(X) = 100\cdot P(X=100) + 25 \cdot P(X=25) = 62.5$$


A simple script confirms that the expectation is indeed $62.5$. You can also double check by computing the probability. Using your terminology,

$$P(Y=n) = \frac{{75 \choose n} \cdot {25 \choose 50-n}} {100\choose 50} $$

So that

$$P(X=100) = \sum_{n=25}^{50} \frac{50-n}{25} \cdot \frac{{75 \choose n} \cdot {25 \choose 50-n}} {100\choose 50} $$

And you can check numerically that this is equal to $1/2$