#### Answer

type I error

#### Work Step by Step

Type I error is when we reject the null hypothesis, although it is true.
Type II error is when we fail to reject the null hypothesis, although it is false.
The proportion is 0.001, hence the null hypothesis is true, hence it is a type I error.