Is a term used to describe the proportion of audit adjustments found in a sample of transactions. E.g: "Error": Subtract Approximate value from Exact value. Ignore any minus sign.
Example: I estimated 260 people, but 325 came.
260 - 325 = -65, ignore the "-" sign, so my error is 65
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Yes, your percent error can be over 100%. This means that somewhere during your experiment you made a big error.
When Percent Equal 100%
Divide the calculated or estimated error by the magnitude of the measurement. Take the absolute value of the result, that is, if it is negative, convert to positive. This would make the percent error = | error / measurement |.
Please explain the expression "error of brass" !