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

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.

error

the wrong answer in an experiment or result to a questionnaire.

experimental error
of two types, errors of objectivity when the experimenter knows the groups and the expected result, and errors of detection or measurement due to inadequate technique or the uneven application of measuring techniques.
random error
error which occurs due to chance, such as sampling error.
sampling error
one due to the fact that the result obtained from a sample is only an estimate of that obtained from using the entire population.
systematic error
when the error is applied to all results, i.e. those due to bias.
error types I and II
in making a statistical test, you can reject the null hypothesis when it is true (type I) or accept the null hypothesis when it is false (type II).
References in periodicals archive ?
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 mean speed sampling error was high for the 5-run set, exceeding 50 percent error of the mean.
The sampling error of the mean exceeded 60 percent for the 5-run set between 5:20 p.
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.
Sampling errors were incorporated in the total annual population abundances generated from either the density-independent growth models or the density-dependent growth model.
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.
Persons estimates are provided for a variety of age/sex categories each with different sample sizes and different sampling errors.
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.
Two foundries were sampled twice to help identify the extent of sampling error.