Type II error
In statistical hypothesis testing, a Type II error consists of failing to reject an invalid null hypothesis (i.e., a "false negative" or a "silent miss").
The symbol for the probability of a Type II error is (beta). The power of a statistical test is defined as . A test with high sensitivity will have fewer Type II errors. However, as the likelihood of Type II error decreases, the likelihood of Type I error increases.
See also
 | This statistics-related article is a stub. You can help Wikipedia by expanding it. |