Which statement describes a method of data analysis?

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The main idea here is validating that the data reflect real events. In data analysis, confirming that an event actually occurred is a concrete method you can use to improve accuracy: you cross-check records, verify against source documents or logs, and ensure the entry corresponds to a real incident rather than a duplicate, a misrecord, or a fabrication. When you validate that events are real, you avoid basing conclusions on false signals and you build trust in the results.

While data quality is essential, that term describes overall trustworthiness of the data rather than a specific analytic step. Focusing only on totals describes a summary approach, not a method of analysis. And trying to remove all noise isn’t realistic or a defined technique in practice; some noise is inevitable, and methods focus on reducing or accounting for it rather than eliminating it entirely.