Validity tests ensure data values conform to what?

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Multiple Choice

Validity tests ensure data values conform to what?

Explanation:
Validity tests focus on whether data values sit within predefined limits or allowable categories set by business rules. This means checking that numbers fall inside specified tolerances or ranges and that codes or values come from permitted sets. The idea is to ensure what can exist in the system is plausible and permitted, not just that it is measured accurately. For example, an age field might be allowed only from 0 to 120, and a salary field nonnegative and within a realistic cap. If a value lies outside these constraints, it’s flagged for review. This is why the concept matches the idea of specified tolerances rather than unlimited ranges, sequence, or mere accuracy.

Validity tests focus on whether data values sit within predefined limits or allowable categories set by business rules. This means checking that numbers fall inside specified tolerances or ranges and that codes or values come from permitted sets. The idea is to ensure what can exist in the system is plausible and permitted, not just that it is measured accurately. For example, an age field might be allowed only from 0 to 120, and a salary field nonnegative and within a realistic cap. If a value lies outside these constraints, it’s flagged for review. This is why the concept matches the idea of specified tolerances rather than unlimited ranges, sequence, or mere accuracy.

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