sampling error

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sampling error

Surgical 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 samplings
McGraw-Hill Concise Dictionary of Modern Medicine. © 2002 by The McGraw-Hill Companies, Inc.

sampling 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.
Collins Dictionary of Biology, 3rd ed. © W. G. Hale, V. A. Saunders, J. P. Margham 2005
References in periodicals archive ?
Sampling errors with a constant coefficient of variation were added to the population abundances generated from the random walk model (Eq.
Thus, only when no sampling errors occurred in the abundance estimates used to detect density dependence or when n = 5 yr were Type I error rates not different from the set nominal value of 5%.
Sampling errors with a constant coefficient of variation were added to population abundances generated from the constant growth model (Eq.
A set of simulations held all parameters and models the same except the distribution of the sampling errors. Sets of simulations varied in parameter values for growth rate and process variation.
Fortunately, sampling errors are reduced by aggregation and averaging because the population variability for a series of telecasts is less than the variability for a single telecast.
Assuming no change in sample size, relative sampling errors are increasing as audience sizes decrease, requiring larger samples to achieve previous relative error levels.
However, using samples results in some uncertainty about our estimates because the sample estimates are subject to sampling error. Sampling error occurs because people are different.
In addition to variability in the population, the sample design and sample size also determine the amount of sampling error. If probability samples are used, estimates of sampling error can be made from the sample.
The link discharge sampling error was less than 10 percent for all run sets, showing minimal variability across all runs, and tended to stabilize around 2 percent after more runs.
The sampling error of the mean exceeded 60 percent for the 5-run set between 5:20 p.m.
The scenario provided several examples of variability for queue initiation time and intensity, as well as the effect on the sampling error for lane density and link speed.
The sampling error exceeded 10 percent for only one 15-minute time interval for the 5-run set.