Answer:
"Type II error" is the right answer.
Explanation:
- A type II mistake would be that a fake null hypothesis also isn't rejected. It's also called false negatives.
- It happens whenever an investigator does not eliminate a truly wrong null hypothesis. Here quite a scientist determines that whenever it genuinely exists, that there's no substantial consequence.
Thus the above is the right answer.