You're correct, for the reason that $\sum_{i}{(a_i+b_i)}=\sum_{i}{a_i}+\sum_{i}{b_i}$ for any terms $a_i,b_i$. Repeating this twice gives you the expression
$$\sum_{i=1}^n{\sum_{j=1}^n{x_i^2}}-\sum_{i=1}^n{\sum_{j=1}^n{2x_ix_j}}+\sum_{i=1}^n{\sum_{j=1}^n{x_j^2}}$$
You can take this further though, using the rule $\sum_{i}{(ca_i)}=c\sum_{i}{a_i}$ which also results in $\sum_{i}\sum_{j}{a_ia_j}=\left(\sum_{i}{a_i}\right)\left(\sum_{j}{a_j}\right)$. Using these facts leads you to
$$n\sum_{i=1}^n{x_i^2}+n\sum_{j=1}^n{x_j^2}-2\left(\sum_{i=1}^n{x_i}\right)\left(\sum_{j=1}^n{x_j}\right)$$
where I also used the fact that $\sum_{i=1}^n{1}=n$.
To add further to this, it is important to note that the specific symbol used for the indices is inconsequential, and since both $i$ and $j$ range over the same set $\{1,\ldots, n\}$ and we've separated all of the sums, we can reduce them to a single index, say $i$. This gives (as Conifold pointed out) the further simplified expression
$$2n\sum_{i=1}^n{x_i^2}-2\left(\sum_{i=1}^n{x_i}\right)^2$$