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Error bound refers to a quantifiable limit or range within which the true value of a mathematical approximation or numerical estimate is expected to fall. It provides a measure of the accuracy of that estimate, indicating how far off the approximation can be from the actual value. In various fields like numerical analysis and statistics, error bounds are essential for assessing the reliability of results and ensuring that calculations meet required precision standards.

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1w ago

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What does download error 492 mean?

What does download error code 492 mean


Why do you use average percentage error and why is it better than mean error?

Percentage error shows how wrong an answer can be with respect to the value of the answer itself. So, we can see how serious the errors are. For example, lets say we have an answer whose mean error is 40. If nothing is given of the actual value of the answer, we cannot determine if this error is insignificant or very serious. If the actual answer was 40000, this mean error of 40 is quite insignificant as the percentage error is 40/40000 x 100 = 0.1 % 0.1 % error is quite insignificant. Mean error, on the other hand, does not help us to determine the significance of this error in any way.


Is the standard error of the sample mean assesses the uncertainty or error of estimation?

yes


Is standard error the mean?

No, the standard error is not the mean. The standard error measures the variability or precision of a sample mean estimate when compared to the true population mean. It indicates how much the sample mean is expected to vary from the actual population mean due to sampling variability. In contrast, the mean is simply the average value of a dataset.


What is unsystematic error?

Well a systemic error is one which may be percieved to have taken place due to systems and structure, basically an error that was bound to happen due to other factors already in place and deemed adequate. So an unsystematic error may be something that was out of reasonable control or a freak occurance or a force majore as they say.