False negative error
In hypothesis testing, an error that occurs when it is incorrectly concluded that a null hypothesis is true.
Note: For example, a Type II error is made if no difference is detected between the outcomes in an experimental group and those in a control group when in fact such a difference exists. The probability of making this type of error is designated as beta (β).
Syn.: Type II error.