No; they are not the same.
The difference between low percent error and high percent error is one is low and the other is high
When Percent Equal 100%
no
No.
Percent error is used when you are comparing your result to a known or accepted value. It is the absolute value of the difference of the values divided by the accepted value, and written as a percentage. Percent error is equal to the difference divided by the known times 100 percent.
The difference: -age(hey, it's not wrong...)In general, probably not - percent and percentage are often used interchangeably. The context of use may warrant a difference though, if strict semantics are being followed:"Percent error" would refer to the the maximum potential difference between what a value could be, and what that value is stated to be. "Percentage error", in such a scenario, would refer to an erroneous percentage (as in, the percentage itself is incorrect).
If it's high that means it's very off and away from the actual value. If you find a low percent error it is very close or close to the true value.
It is the observed error.
An error is the difference between a predicted value and the actual, observed, value. The percent error tells the user how close or how far off one was from the actual value in the form of a percentage.
they are the same thing.
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.
relative error.