Passage Summary: The author argues that teaching statistics should be more like teaching someone to drive a car rather than teaching them how to build one from scratch.

Conclusion: People do not necessarily need to understand the mathematical theories of statistics to use statistical methods effectively.

Reasoning: The author uses an analogy comparing statistics to cars: just as you don't need to know how to build a car to drive one, you don't need theory to use the tools.

Analysis: This argument relies entirely on a functional analogy. The author sets up a relationship where 'building' equals 'theory' and 'driving' equals 'application.' Since the premise establishes that building is not a prerequisite for driving, the logical completion must mirror this by stating that theory is not a prerequisite for application. Look for an answer that completes this parallel, emphasizing that the 'how-to' of using statistics is independent of the 'why' of the underlying math.