Answer:
From a statistical point of view: A correct decision was made.
so that the extent of the problem may be ascertained.
Explanation:
"In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion)."