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Error
(redirected from Sampling error)

   Also found in: Dictionary/thesaurus, Medical, Legal, Wikipedia, Hutchinson 0.49 sec.
error, in law: see appeal appeal, in law, hearing by a superior court to consider correcting or reversing the judgment of an inferior court, because of errors allegedly committed by the inferior court.
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error

In applied mathematics, the difference between a value and an estimate of that value. In statistics, a common example is the difference between the mean age of a given group of people (see mean, median, and mode) and that of a sample drawn from the group. In numerical analysis, an example of round-off error is the difference between the true value of pi and commonly substituted expressions like ²²⁄₇ and shorter versions like 3.14159. Truncation error results from using only the first few terms of an infinite series. Relative error is the ratio of the size of an error to the size of the quantity measured, and percentage error is relative error expressed as a percent.


Error
Breeches Bible, the
the Geneva Bible, so dubbed because it stated that Adam and Eve made themselves breeches. [Br. Hist.: Brewer Dictionary, 101]
Cortez
alluded to in a poem by Keats, mistaken for Balboa, as discoverer of Pacific Ocean. [Br. Poetry: “On First Looking into Chapman’s Homer”]
Wicked Bible, the
misprinted a commandment as “Thou shalt commit adultery.” [Br. Hist.: Brewer Dictionary, 102]
seacoast of Bohemia
Shakespearean setting in a land with no seacoast. [Br. Drama: Shakespeare The Winter’s Tale, III,iii]

1.error - A discrepancy between a computed, observed, or measured value or condition and the true, specified, or theoretically correct value or condition.
2.(programming)error - A mental mistake made by a programmer that may result in a program fault.
3.error - (verb) What a program does when it stops as result of a programming error.


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A survey of this size can have a sampling error of plus or minus 3 percentage points, and there are other possible sources of errors in all polls.
The sampling error on the total sample is plus or minus two percentage points at the 95% confidence level.
In a well-designed statistical sample, the sampling error is as small as we need it to be.
 
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