How can you explain the difference between a data subset and the full dataset?

• A. A subset includes records meeting conditions; the full dataset contains all records.
• B. A subset contains all records; full dataset is a sample.
• C. Subset is the average; full dataset is the median.
• D. Subset is a separate dataset from a different source.

Answer: (A)

Subsets are portions created by applying conditions to a dataset, while the full dataset includes every record. This means the subset contains only the records that meet the given criteria, and the full dataset has all records, regardless of those criteria. For example, filtering to keep only students who scored above 85 yields a subset of the original data; the full dataset would include all students, not just those meeting that condition. The alternative ideas—that a subset contains all records or that the full dataset is a sample—don’t fit, because the subset by definition narrows down the data, and the full dataset is the complete collection, not a sample. A subset isn’t defined by an average or median, and it doesn’t have to come from a different source.