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9f you are using the equation %error =[(oberved value - true value)/true value]x100 a negative percent indicates the observed value is less than the true value by the calculated percent.

Q: What if the percent error is negative?

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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 |.

no

Yes, your percent error can be over 100%. This means that somewhere during your experiment you made a big error.

When Percent Equal 100%

Please explain the expression "error of brass" !

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Sometimes you will take the absolute value of the percent error because your estimated number could be less than the theoretical, meaning the calculation is negative. But an absolute value is always positive. A percent error can be left as a negative though, and this would be perfectly acceptable (or even preferred) depending on what you're doing.Answer:In the sciences, a negative percent error indicates a low result. If you have a 0% error, then your observed (lab) result was exactly the same as the theoretical result. A 5% error could mean that your observed result was a little high. A negative percent error is possible; if your observed results were lower than the expected, then you would have a negative percent error. A -5% error could mean that your results were a little low. Having a negative percent error isn't worse than positive percent error -- it could mean the same thing. If you were to have a choice in having a 20% error and a -5% error, the negative percent error is more accurate.

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 |.

all error value are suppose to be prefixed by a +/- symbol to show that they can be either + or -. As everybody understands this they just forget about it.

Depending on whether you subtract actual value from expected value or other way around, a positive or negative percent error, will tell you on which side of the expected value that your actual value is. For example, suppose your expected value is 24, and your actual value is 24.3 then if you do the following calculation to figure percent error:[percent error] = (actual value - expected value)/(actual value) - 1 --> then convert to percent.So you have (24.3 - 24)/24 -1 = .0125 --> 1.25%, which tells me the actual is higher than the expected. If instead, you subtracted the actual from the expected, then you would get a negative 1.25%, but your actual is still greater than the expected. My preference is to subtract the expected from the actual. That way a positive error tells you the actual is greater than expected, and a negative percent error tells you that the actual is less than the expected.

Percent error.

The difference between low percent error and high percent error is one is low and the other is high

The error in its area is then 2 percent....

1/100

The formula for percent error is |experimental value-accepted value|/accepted value. The lines stand for absolute value. They are there to prevent a negative percent error, seeing as that is not possible, and they have the same effect on the order of operations as a pair of parenthesis. ITS 2.1%

percent error

no

No.