Which of the following questions should NOT be asked when evaluating external data?

When evaluating external data, it is essential to assess the data's credibility, consistency, and relevance in the context of the problem you are addressing. The question regarding whether the data indicates the correct solution to the problem is problematic because it assumes that external data can provide a definitive answer or solution without fully understanding the context in which that data was collected or the methodology behind it.

External data can offer insights and support decision-making but does not inherently dictate a "correct" solution. The interpretation of data typically requires critical analysis and may involve additional factors not captured in the external dataset. In contrast, assessing the provider's purpose, the consistency of the data with other sources, and the recency of the data are crucial to establishing trustworthiness and relevance, which are foundational in data-driven decision-making.