#### Answer

type II 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 more than 0.5, hence the null hypothesis is false, hence it is a type II error.