Can be continuous (income, age) or discrete (number of emails received).

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Multiple Choice

Can be continuous (income, age) or discrete (number of emails received).

Numerical data describes quantities that can be measured on a numeric scale and supports arithmetic. It includes continuous variables like income or age, which can take any value within a range, and discrete variables like the number of emails received, which take whole-number values. That combination fits the description precisely. Nominal data are categories without numeric ordering, and ordinal data have a natural order but are still categorical. Structured data refers to how data is organized, not whether it is numeric or categorical.

Numerical data describes quantities that can be measured on a numeric scale and supports arithmetic. It includes continuous variables like income or age, which can take any value within a range, and discrete variables like the number of emails received, which take whole-number values. That combination fits the description precisely. Nominal data are categories without numeric ordering, and ordinal data have a natural order but are still categorical. Structured data refers to how data is organized, not whether it is numeric or categorical.

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