Numeric data are data on which you can perform meaningful arithmetic procedures.

Question

BlackTom AI · Accepted Answer

The statement describes the nature of numeric data in data analysis and measurement theory. 
Option 1: True. Numeric data, also called quantitative data, are those that represent amounts and can be subjected to meaningful arithmetic operations such as addition, subtraction, multiplication, and division. This aligns with standard definitions in statistics and data science, where numbers carry scale and interval properties that justify arithmetic. 
Option 2: False. If the statement were false, it would imply that numeric data do not permit meaningful arithmetic, which contradicts the foundational concept of quantitative data. In practice, arithmetic procedures enable comparisons (sums, averages, rates) and inferential calculations on numeric datasets, so labeling them as incapable of meaningful arithmetic would be incorrect. 
In summary, the claim about numeric data corresponds to their key characteristic: they support arithmetic operations that convey meaningful information about quantities.

Numeric data are data on which you can perform meaningful arithmetic procedures.

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Numeric data are data on which you can perform meaningful arithmetic procedures.

View Explanation

Log in for full answers

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