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- Current: Aug 06, 2023
Type II error
In statistics, a type II error refers to a false negative error, in which a test result incorrectly indicates the absence of a condition.
For example, in a group comparison, a type II error indicates the situation that one overlooks a significant difference.
On the other hand, a type I error refers to a false positive error, in which a test result incorrectly indicates the presence of a condition.
