Using a probability argument I got the sum. Can it be done directly?

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Using a probability argument I got the sum. Can it be done directly?
##\sum\limits_{k=0}^{n-m} \frac{\binom{n-m}{k}}{\binom{n}{k}}\frac{m}{n-k}=1##. Can be derived from question. For ##n\ge m##, pick ##m## marbled out of a set size ##n## labeled from ##1## to ##n##, what is probability distribution of minimum of the number labels on the marbles? The terms is the summation are probabilities that minimum label ##=k+1##.
 
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mathman said:
The sum should = 1, why n/m? Also the denominator in the product should be n-j+1.
No, I distributed ##\dfrac{m}{n}## out of the sum and put it on the other side. My formula is correct (I think). I only skipped a few elementary calculation steps.

Edit: By checking the calculation for ##N=2## I saw that multiplying with the common denominator is probably better than an induction. The induction brought a weighted sum such that the induction hypothesis couldn't be applied.
 
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There is still a little work to do, but I broke it down to an inductionable statement:
$$
\sum_{k=0}^N\prod_{j=1}^k\dfrac{N-j+1}{n-j}=\dfrac{n}{n-N}
$$
\begin{align*}
\dfrac{n}{n-N}&= 1+\dfrac{N}{n-1}+\dfrac{N(N-1)}{(n-1)(n-2)}+\ldots+\dfrac{N}{n-1}\cdots \dfrac{1}{n-N}\\
\dfrac{n!}{n-N}&=(n-1)!+N(n-2)!+N(N-1)(n-3)!+\ldots +N!\\
n!&=(n-1)!(n-N)+N(n-N)(n-2)!+\ldots +N!(n-N)
\end{align*}
Now it is in a form where we can perform an induction.
\begin{align*}
N=0\, &: \,(n-1)!(n-0)=n!\\
N=1\, &: \,(n-1)!(n-1)+(n-1)(n-2)!=(n-1)!(n-1+1)=n!\\
N=2\, &: \,(n-1)!(n-2)+2(n-2)(n-2)!+2(n-2)(n-3)!\\
\phantom{N=2\, }&\phantom{\,=}=(n-2)!((n-1)(n-2)+2(n-2)+2)\\
\phantom{N=2\, }&\phantom{\,=}=(n-2)!(n^2-3n+2+2n-4+2)=(n-2)!(n^2-n)=n!
\end{align*}