Type I and Type II Errors - Usage Examples

Usage Examples

Statistical tests always involve a trade-off between:

  1. the acceptable level of false positives (in which a non-match is declared to be a match) and
  2. the acceptable level of false negatives (in which an actual match is not detected).

A threshold value can be varied to make the test more restrictive or more sensitive, with the more restrictive tests increasing the risk of rejecting true positives, and the more sensitive tests increasing the risk of accepting false positives.

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