Percent error is the blank of an blank to a blank 2025

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A percent error measures the difference between an observed value and a theoretical value as a percentage of that theoretical value. In other words, a percent error measures just how close a measured or estimated value of some quantity is to the true and correct value.
The smaller the percent error, the better. 5% error suggests that the initial estimate or the observed value was close to the actual value.
Subtract the exact value from the approximate value: 15,000 - 12,500 = 2,500. Divide the difference by the exact value: 2,500 / 12,500 = 0.2. Multiply by 100% to get the percent error: 0.2 x 100% = 20%.
In statistics, the mean percentage error (MPE) is the computed average of percentage errors by which forecasts of a model differ from actual values of the quantity being forecast. The formula for the mean percentage error is: is the number of different times for which the variable is forecast.
To calculate the percent error of an estimated candy jar count of 68 against an actual count of 60, use the formula: (|Estimated Value - Actual Value| / Actual Value) 100%, resulting in a 13.33% percent error.
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Percent error measures the discrepancy between an observed value and its theoretical value, as a percentage of that theoretical value.

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