Answer:
A type 1 error in this situation will represent the fact that a true null hypothesis is rejected.
Explanation:
A type 1 error is also known as a "false positive" conclusion, it is the rejection of a true null hypothesis in a statistical testing, it is the type of error that comes with the rejecting of a hypothesis that should have not been rejected. A very good example is the conviction of an innocent person in the court of law, or the classification of a good product as a bad product. It is sometimes referred to as an error of commission.