What are the 2 types of errors?
In statistics, a Type I error is a false positive conclusion, while a Type II errorType II errorA false negative error, or false negative, is a test result which wrongly indicates that a condition does not hold. For example, when a pregnancy test indicates a woman is not pregnant, but she is, or when a person guilty of a crime …