Type II error in hypothesis testing is

- acceptance of the null hypothesis when it is false and should be rejected
- rejection of the null hypothesis when it is true and should be accepted
- rejection of the null hypothesis when it is false and should be rejected
- acceptance of the null hypothesis when it is true and should be accepted