The question: A shipment of 2500 car headlights contains 200 defective. You choose from this shipment without replacement until you have 18 which are not defective. Let X be the number of defective headlights you obtain. Give the probability function, $f(x)$
My attempt:
I use hypergeometric distribution.
$$ f(x) = \frac{{ 2300 \choose 18} {200 \choose x}}{ {2500 \choose x+18}}$$
The official answer:
In the first $(x+17)$ selection we need to get $x$ defective (use hypergeometric distribution) and then we need a good one on the $(x+18)$ draw. Therefore,
$$ f(x) = \frac{ {200 \choose x} {2300 \choose 17}} {{ 2500 \choose x+17}} * \frac{2283}{2500 - (x+17)} $$
I think there might be a mistake because the answer seems to answer what is the probability that we draw 17 defective and the 18 th draw is not defective, and if that is the case I don’t seem to understand how they got the value 2283.
The essential observation to make is that the selection process does not stop until one obtains the 18th non-defective headlight; therefore, if $X$ counts the random number of defective headlights selected, we must have drawn $X+18$ headlights in total; moreover, the final headlight selected is always non-defective, otherwise we could not have stopped at that point. If you say that we had already drawn $18$ non-defective headlights, then you did not stop when you were supposed to.
With this in mind, we now see why the solution is structured as it is: If $X+17$ is the total number of headlights selected prior to the final selection that stops the process, then there are exactly $X$ defective headlights and $17$ non-defective ones we have obtained so far, and these can be ordered in any way--there are no additional restrictions, because the $18^{\rm th}$ non-defective headlight has not yet been drawn. The probability obeys the hypergeometric distribution. But now we must also include the probability that the next draw is non-defective, otherwise the process would not stop at that point. At that point, there are $2500 - (X + 17)$ remaining headlights, of which $2500 - 200 - 17$ are non-defective, thus the probability of selecting a non-defective headlight is simply $$\frac{2283}{2500 - (X+17)}.$$