Type I (α): reject the null hypothesis when the null hypothesis is true.

Type I error can be viewed as the error of excessive credulity.

Type II (β): fail to reject the null hypothesis when the null hypothesis is false.

Type II error can be viewed as the error of excessive skepticism.

Plainly speaking, a Type I error can usually be interpreted as a false alarm or insufficient specificity.

A Type II error could be similarly interpreted as an oversight, a lapse in attention or inadequate sensitivity.

[此贴子已经被作者于2009-5-21 17:31:13编辑过]