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 ?
Statistical modeling error affects our confidence in the magnitude of the coefficient and the sample error probability, thereby affecting both the fact probability (we cannot trust that the coefficient accurately describes the relationship) and the belief probability (we cannot trust the p-value to measure the likelihood that the selection of aberrant individuals for the study, rather than some other explanation, accounts for the apparent relationship).