# Acceptable Error

## Contents |

or experimental values. This calculation will help you to evaluate the relevance of your results. It is helpful to know by what percent your experimental values differ from your lab partners' acceptable error rate six sigma values, or to some established value. In most cases, a percent error or difference acceptable error rate for pharmacies of less than 10% will be acceptable. If your comparison shows a difference of more than 10%, there is a great acceptable error rate likelihood that some mistake has occurred, and you should look back over your lab to find the source of the error. These calculations are also very integral to your analysis analysis and discussion. A high acceptable error percentage percent error must be accounted for in your analysis of error, and may also indicate that the purpose of the lab has not been accomplished. Percent error: 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 difference: Percent difference is used when

## Acceptable Error Rate Manufacturing

you are comparing your result to another experimental result. It is the absolute value of the difference of the values divided by their average, and written as a percentage. A measurement of a physical quantity is always an approximation. The uncertainty in a measurement arises, in general, from three types of errors. Systematic errors: These are errors which affect all measurements alike, and which can be traced to an imperfectly made instrument or to the personal technique and bias of the observer. These are reproducible inaccuracies that are consistently in the same direction. Systematic errors cannot be detected or reduced by increasing the number of observations, and can be reduced by applying a correction or correction factor to compensate for the effect. Random errors: These are errors for which the causes are unknown or indeterminate, but are usually small and follow the laws of chance. Random errors can be reduced by averaging over a large number of observations. The following are some examples of systematic and random errors to consider when writing your error analysis. Incomplete definition (may be systematic or random) - One reason that it is impossible to make exact measurements is that the measurement is not always clearly defined. For example, if two different people measure the l

or experimental values. This calculation will help you to evaluate the relevance of your results. It is helpful to know by what

## Acceptable Error Rate For Data Entry Work

percent your experimental values differ from your lab partners' values, or to some acceptable error rate for data entry established value. In most cases, a percent error or difference of less than 10% will be acceptable. If your acceptable percent error physics comparison shows a difference of more than 10%, there is a great likelihood that some mistake has occurred, and you should look back over your lab to find the source of http://physics.appstate.edu/undergraduate-programs/laboratory/resources/error-analysis the error. These calculations are also very integral to your analysis analysis and discussion. A high percent error must be accounted for in your analysis of error, and may also indicate that the purpose of the lab has not been accomplished. Percent error: Percent error is used when you are comparing your result to a known or accepted value. It is the http://physics.appstate.edu/undergraduate-programs/laboratory/resources/error-analysis absolute value of the difference of the values divided by the accepted value, and written as a percentage. Percent difference: Percent difference is used when you are comparing your result to another experimental result. It is the absolute value of the difference of the values divided by their average, and written as a percentage. A measurement of a physical quantity is always an approximation. The uncertainty in a measurement arises, in general, from three types of errors. Systematic errors: These are errors which affect all measurements alike, and which can be traced to an imperfectly made instrument or to the personal technique and bias of the observer. These are reproducible inaccuracies that are consistently in the same direction. Systematic errors cannot be detected or reduced by increasing the number of observations, and can be reduced by applying a correction or correction factor to compensate for the effect. Random errors: These are errors for which the causes are unknown or indeterminate, but are usually small and follow the laws of chance. Random errors can be reduced by averaging over a large number of observations. The following ar

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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 Stack Overflow the company Business Learn more about hiring developers or posting ads with us Programmers Questions Tags Users Badges Unanswered Ask Question _ Programmers Stack Exchange is a question and answer site for professional programmers interested in conceptual questions about software development. 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 are voted up and rise to the top What is the acceptable error margin when estimating a project duration? up vote 13 down vote favorite 5 The company where I work is aiming to have a 10% maximum error margin.They expect analysts to not miss the estimate by more or less than 10%. I don't know what to think about it, since I got nothing to compare it to. What could be a good baseline to measure if we are estimating too wrong, for more or less? How much (in %) do you think is okay to to miss? project-management analysis time-estimation systems-analysis share|improve this question edited May 18 '12 at 20:13 ChrisF♦ 36.1k9110160 asked May 18 '12 at 19:59 Túlio F. 23029 3 I'd want the error margin to be specified by the team putting together the estimate and submitted with the estimate. By and large, your first shot at an estimate, with just a brief product description and no solid requirements will have a high margin for error. As the project gets more and more defined, new estimates may be made with lesser error margins. –Jesse C. Slicer May 18 '12 at 20:15 2 Are you saying that if you come in UNDER budget by too much, someone's going to get into trouble? –pdr May 18 '12 at 20:22 @pdr They didn't say anything about the consequences. –Túlio F. May 18 '12 at 20:28 Should be on se.pm? Just askin'. –Peter K. May 18 '12 at 21:19 1 I would suggest looking at the "Software Estimation" book by Steve McConnell. It has a tidbit in there that an accuracy of +/- 10% is possible - but only possible on well-controlled projects. This references a book by Jones in 1998. –user40980 May 18 '12 at 22:32 | show 4 more comments 6 Answers 6 active oldest votes up vote 18 down vote accepted Unless you are estimating something very similar to that which you and your co-workers have done before, +/-10% is ridiculously optimistic. Your management either doesn't have a lot of experience with software, or they're not aware of Large Limits to Software Estima