Which statement regarding data collection questions is true after data mining analysis?

• A. We can determine exactly how the data was collected.
• B. How the data was collected is typically not answerable.
• C. Data mining determines data collection methods completely.
• D. Data collection method is irrelevant.

Answer: (B)

After data mining analysis, you typically can’t determine exactly how the data were collected. Data mining focuses on uncovering patterns and relationships in the data, often across multiple sources and after various transformations, cleaning, and possibly sampling. The provenance of the data—its original collection method, sources, timings, and processing steps—may be partially unknown or lost, especially when data pass through ETL processes or come from vendors. Because of this, the question of how the data were collected is usually not answerable from the mined results alone.

This is why the statement about the data collection method being usually not answerable is the best choice. It reflects the practical reality that mining reveals patterns in the data as they exist, not a complete, verifiable record of their origins. The other ideas are less accurate: exact collection details aren’t typically recoverable; mining doesn’t reveal collection methods completely; and while collection methods can influence results, they’re not inherently irrelevant to interpretation.