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Multiple Choice

How should verification address measurement range to ensure accuracy?

Verification should confirm accuracy across the instrument's specified measurement range because a device's accuracy is defined within that range and can vary across values. Instruments often show different error behavior at low, mid, and high ends due to factors like nonlinearity, bias, and gain errors, so testing only a single point (like the mid-range) may miss errors near the limits. Ignoring the full-scale limits or extrapolating beyond them assumes the same accuracy everywhere, which isn’t guaranteed and can lead to false confidence. By verifying performance across the entire specified range, you ensure the device is reliable for all values it’s meant to measure.

Verification should confirm accuracy across the instrument's specified measurement range because a device's accuracy is defined within that range and can vary across values. Instruments often show different error behavior at low, mid, and high ends due to factors like nonlinearity, bias, and gain errors, so testing only a single point (like the mid-range) may miss errors near the limits. Ignoring the full-scale limits or extrapolating beyond them assumes the same accuracy everywhere, which isn’t guaranteed and can lead to false confidence. By verifying performance across the entire specified range, you ensure the device is reliable for all values it’s meant to measure.