Statistics does fit into that, as one particular species of correctly using empirical evidence. But most freshmen students aren't even constructing coherent arguments in the broad sense; having a technical knowledge of statistical theorems isn't the main bottleneck. This is actually a common problem in my classes: technically-solid students who can't write a coherent essay-length or blog-post-length argument in favor of or against a point. The better students tended to have taken at least a Philosophy 101 course, which taught them how to write a basic "argument for or against a position" paper. Once you have that, there's a pretty good basis on which to expand the argumentation toolbox with statistical arguments.
This seems closer to "statistics versus logos" than "statistics versus rhetoric."
On the other side you have the ability to phrase it as a question in the same language as Aristotle.
This is an incredibly gross simplification of applying statistical theory. I suggest you pick up some texts on inference, Bayesian stats, and probability theory to learn how stats != "running t-tests".
I'm not making any statement about whether I agree with him, but if you disagree you will have to claim that he is cherry picking one useful and one useless skill, not just say that there is more to stats than t-tests.
So, 112% of the time 60% of STEMS <X>? What a strange way of phrasing it.