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The patternless differences observed between successive analytical results or statistical trials. Even though the individual results are patternless and unpredictable, the range of random error can be predicted with a given probability once sufficient experience has been gained. The random error is then quantified by the standard deviation, the coefficient of variation, and other statistics. See: measurement error; systematic error
See also: error
the wrong answer in an experiment or result to a questionnaire.
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.
error which occurs due to chance, such as 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.
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).