位置33的问题 Arithmetic operations are inappropriate for _____.large data setsquantitative datacategorical data[table]
both categorical and quantitative data
[/table]

Question

BlackTom AI · Accepted Answer

The question asks where arithmetic operations are inappropriate. 
Option 1: 'large data sets' — The size of a data set in itself does not determine whether arithmetic is appropriate; arithmetic can be applied or not depending on data type, so this choice is not correct.
Option 2: 'quantitative data' — Quantitative (numerical) data are defined by numerical values, and arithmetic operations like addition, subtraction, and averaging are appropriate and meaningful, so this option is incorrect.
Option 3: 'categorical data' — Categorical data represent categories or labels without a natural numeric scale, so applying arithmetic operations would lack meaningful interpretation. For instance, you cannot sensibly add colors or categories or compute an average of categories. This makes arithmetic inappropriate for categorical data.
Option 4: 'both categorical and quantitative data' — Since arithmetic is appropriate for quantitative data but not for categorical data, saying it applies to both is inaccurate. The statement overgeneralizes the applicability of arithmetic.

位置33的问题 Arithmetic operations are inappropriate for _____.large data setsquantitative datacategorical data[table] both categorical and quantitative data [/table]

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