I want to prove that the following inequality holds whenever $k\leq n-1$ and $1\leq i\leq \lfloor\frac{k}{2}\rfloor$.
$$\frac{2}{C}\binom{n}{k}\binom{k}{i+1} \leq \frac{k}{i}\sum_{j=i}^{k-1} (k-j)\binom{j-1}{i-1}\binom{n-k+j-1}{j}$$
where $C = \max(k,n-k)+1$.
Two identities I suspect might be very useful here are $$\binom{k}{i+1} = \sum_{j=i}^{k-1} (k-j)\binom{j-1}{i-1}$$ $$\binom{n-1}{k-1}=\sum_{j=0}^{k-1} \binom{n-k+j-1}{j}$$
I tried to use these and the Chebyshev's inequality (which states that if $a_1\leq \cdots \leq a_n$ and $b_1\leq \cdots \leq b_n$, then $\sum a_i \cdot \sum b_i \leq n \sum a_ib_i$) but it didn't work. I think that this inequality is somehow "tight".
Also, I tried splitting into two cases $k\leq n-k$ and $k\geq n-k$ to have a more concrete expression for $C$. Any help would be highly appreciated.
EDIT: I have tried approaching the case $i=1$, and many identities can be used. The inequality in this case is very tight, and I think that proceeding via induction on $i$ does not help, as the inequality seems to get tighter at every step.
EDIT2: The problem with the Chebyshev approach is that the sequence $(k-j)\binom{j-1}{i-1}$ is not increasing (hence it is not possible to use the Chebyshev's inequality as stated).
EDIT3: I have noticed using Zeilberger's algorithm that $$\sum_{j=i}^{k-1} j\binom{j-1}{i-1}\binom{n-k+j-1}{j} = \frac{i(i+1)(n-k)}{n(n+i-k)} \binom{n}{k}\binom{k}{i+1}$$
However, no closed expression seems to exist for
$$\sum_{j=i}^{k-1}\binom{j-1}{i-1}\binom{n-k+j-1}{j}$$