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Not exactly: to get Internal statistics you first need to manipulate with texts: parse them obtaining phrases by clauses, for sentences and paragraphs. And only after that you calculate weights; where the weight refers to the frequency that a context phrase occurs in relation to other context phrases.
Therefore, statistics is one of two components and the result.
Could it be that you talk about text mining? Because I was referring to the alpha-numeric type of data mining. Anyway, the data mining task is the same in both, i.e. to search for hidden patterns of behavior or underlying connections. In other word: DM means searching for new hypotheses and should come BEFORE the statistics test. Therefore DM is using a different methods than stat.