The errror that has occured is a False Positive error.
Step-by-step explanation:
- A false positive is where you receive a positive result for a test, when you should have received a negative results.
- A false positive (type I error) — when you reject a true null hypothesis.
- The type I error rate or significance level is the probability of rejecting the null hypothesis given that it is true. It is denoted by the Greek letter alpha