Calculated Percent Error Always Zero Positive
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By Definition The Calculated Percent Error Is
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Calculated Percent Change
New Zealand Philippines Quebec Singapore Taiwan Hong Kong Spain Thailand UK & Ireland Vietnam Espanol About About Answers Community Guidelines Leaderboard Knowledge Partners Points & Levels Blog Safety Tips Science & Mathematics Mathematics Next By definition, the calculated percent error is? By definition, the calculated percent error is usually is it possible to have a negative percent error zero or negative always zero or negative always zero or positive usually zero or positive Follow 2 answers 2 Report Abuse Are you sure you want to delete this answer? Yes No Sorry, something has gone wrong. Trending Now Palm Coast Florida Cristiano Ronaldo Gloria Naylor Minnesota Vikings Luxury SUV Deals 2016 Cars Leona Lewis Oakland Raiders Buffalo Bills Psoriatic Arthritis Symptoms Answers Best Answer: always zero or positive. note if it is 0 then there would be no error which is really only possible with very very very precise measuring tools. Source(s): ? · 6 years ago 0 Thumbs up 0 Thumbs down Comment Add a comment Submit · just now Report Abuse Define Percent Error Source(s): https://shrink.im/a9UQH boren · 9 hours ago 0 Thumbs up 0 Thumbs down Comment Add a comment Submit · just now Report Abuse Add your answer B
"sizes" of the things being compared. The comparison is expressed as a ratio and is a unitless number. By multiplying these ratios by 100 they can be expressed as percentages so the terms percentage change, percent(age)
Percent Error Formula Example
difference, or relative percentage difference are also commonly used. The distinction between "change" and
Negative Percent Error Means
"difference" depends on whether or not one of the quantities being compared is considered a standard or reference or starting value. can percent error be negative in chemistry When this occurs, the term relative change (with respect to the reference value) is used and otherwise the term relative difference is preferred. Relative difference is often used as a quantitative indicator of quality assurance https://answers.yahoo.com/question/index?qid=20100912121322AAWCzZb and quality control for repeated measurements where the outcomes are expected to be the same. A special case of percent change (relative change expressed as a percentage) called percent error occurs in measuring situations where the reference value is the accepted or actual value (perhaps theoretically determined) and the value being compared to it is experimentally determined (by measurement). Contents 1 Definitions 2 Formulae 3 Percent error 4 Percentage change https://en.wikipedia.org/wiki/Relative_change_and_difference 4.1 Example of percentages of percentages 5 Other change units 6 Examples 6.1 Comparisons 7 See also 8 Notes 9 References 10 External links Definitions[edit] Given two numerical quantities, x and y, their difference, Δ = x - y, can be called their actual difference. When y is a reference value (a theoretical/actual/correct/accepted/optimal/starting, etc. value; the value that x is being compared to) then Δ is called their actual change. When there is no reference value, the sign of Δ has little meaning in the comparison of the two values since it doesn't matter which of the two values is written first, so one often works with |Δ| = |x - y|, the absolute difference instead of Δ, in these situations. Even when there is a reference value, if it doesn't matter whether the compared value is larger or smaller than the reference value, the absolute difference can be considered in place of the actual change. The absolute difference between two values is not always a good way to compare the numbers. For instance, the absolute difference of 1 between 6 and 5 is more significant than the same absolute difference between 100,000,001 and 100,000,000. We can adjust the comparison to take into account the "size" of the quanti
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about http://math.stackexchange.com/questions/677852/how-to-calculate-relative-error-when-true-value-is-zero Stack Overflow the company Business Learn more about hiring developers or posting ads with us Mathematics Questions Tags Users Badges Unanswered Ask Question _ Mathematics Stack Exchange is a question and answer site for people http://www.answers.com/Q/Can_percent_error_be_negative studying math at any level and professionals in related fields. Join them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can answer The best answers percent error are voted up and rise to the top How to calculate relative error when true value is zero? up vote 10 down vote favorite 3 How do I calculate relative error when the true value is zero? Say I have $x_{true} = 0$ and $x_{test}$. If I define relative error as: $\text{relative error} = \frac{x_{true}-x_{test}}{x_{true}}$ Then the relative error is always undefined. If instead I use the definition: $\text{relative calculated percent error error} = \frac{x_{true}-x_{test}}{x_{test}}$ Then the relative error is always 100%. Both methods seem useless. Is there another alternative? statistics share|cite|improve this question asked Feb 15 '14 at 22:41 okj 9461818 1 you need a maximum for that.. –Seyhmus Güngören Feb 15 '14 at 23:06 1 Simple and interesting question, indeed. Could you tell in which context you face this situation ? Depending on your answer, there are possible alternatives. –Claude Leibovici Feb 16 '14 at 6:24 1 @ClaudeLeibovici: I am doing a parameter estimation problem. I know the true parameter value ($x_{true}$), and I have simulation data from which I infer an estimate of the parameter ($x_{test}$). I want to quantify the error, and it seems that for my particular case relative error is more meaningful than absolute error. –okj Feb 17 '14 at 14:05 1 What about $\text{error} = 2 \frac{x_{true}-x_{test}}{x_{true}+x_{test}}$ if it is for an a posteriori analysis ? –Claude Leibovici Feb 17 '14 at 14:16 1 @okj. I am familiar with this situation. Either use the classical relative error and return $NaN$ if $x_{true}=0$ either adopt this small thing. It is always the same problem with that. You also can add a translation to the $x$'s to ge
Share In Math and Arithmetic, Statistics, Percentages, Fractions, and Decimal Values Can percent error be negative? Can percent error be negative? SAVE CANCEL already exists. Would you like to merge this question into it? MERGE CANCEL already exists as an alternate of this question. Would you like to make it the primary and merge this question into it? MERGE CANCEL exists and is an alternate of . Merge this question into Split and merge into it SAVE CANCEL Edit Answer by Blue Confidence votes 38.4K 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. 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) dep