| 单词 | sampling error |
| 释义 | sampling errorsampling error[′samp·liŋ ‚er·ər]sampling errorthe difference between the ‘true’ value of a characteristic within a population and the value estimated from a sample of that population. ‘Error’ occurs because no SAMPLE can be expected to exactly represent the parent population from which it was drawn. To minimize, and to be able to estimate, sampling error, it is necessary to ensure that the selection of the sample is RANDOM, and this is normally done by random numbers or systematic sampling. Sampling error is not the same as BIAS or systematic error, which may occur due to the process of data collection, but is nothing to do with the sample selection.sampling errorsampling errorSurgical pathology An error in a diagnostic work-up, in which insufficient, inadequate, or non-representative material is obtained for analysis, especially biopsy material, less commonly, cytologic samplingssampling error(in statistics) a statistical phenomenon in which the variation within a sample is inversely related to the size of the sample. In other words, the smaller the sample the larger the sample error. Thus if 100 people toss 10 coins each, the variation within each sample would be quite high, from perhaps 2 heads: 8 tails, to 8 heads: 2 tails. However, if the same 100 people toss 1000 coins each, the variation would be expected to be proportionately less, from perhaps 350 heads: 650 tails to 650 heads: 350 tails. The variation in a sample can be expressed as, for example, mean ± standard error. |
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