Final answer:
In unsupervised data mining, analysts do not create a model or hypothesis before running the analysis.
Step-by-step explanation:
Statement A is true about unsupervised data mining. In unsupervised data mining, analysts do not create a model or hypothesis before running the analysis. Instead, they allow the data to reveal underlying patterns or groupings on its own. This is in contrast to supervised data mining, where analysts develop a model prior to the analysis and apply statistical techniques to the data based on that model.