That depends a lot on the application. In some cases, a 10% error (or even more) may be acceptable, in other, 1%, in others, you need a much higher precision.
Generally, a %Error of approximately 5% is regarded as accurate. However, this is only a guideline for small experiments or data sets. Also, one should ensure that the relative standard deviation is less than 5% also. This ensures that the data set is precise.
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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.
A score of 116 or more is considered above average. A score of 130 or higher is considered a high IQ.
A large degree of variation between individual measurements, in terms of the units used.
since 100%-20%=80%, then we know 80% was there. Here is how it works. We need the percent that is absent plus the percent that is present to add up to 100% since that is all the students.
High value products are products that have a high user satisfaction to cost ratio. When a product is not overly expensive but really delivers on quality it can be considered a high value product.