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sampling error |
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sampling error [′samp·liŋ ‚er·ər] (statistics) That portion of the difference between the value of a statistic derived from observations and the value that it is supposed to estimate; attributed to the fact that samples represent only a portion of a population. How to thank TFD for its existence? Tell a friend about us, add a link to this page, add the site to iGoogle, or visit webmaster's page for free fun content. |
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| The sample error, in relationship to that overall basis estimate, should be no greater than 10 percent. Using the approach outlined by Armitage and Berry,(16)(PP221-223) an illustration of a confidence interval calculation based on the sample error variance for the make test, 0. denotes sample error too large for presentation (less than 7,500) |
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