Answer:
The answer is: The student is not pregnant, but the test result shows that she is pregnant.
Step-by-step explanation:
The type II error, also called the beta (β) type error (β is the probability that this error exists) or false negative, is committed when the researcher does not reject the null hypothesis being this false in the population.
When the null hypothesis is false and you do not reject it, you make a type II error.
The answer is: The student is not pregnant, but the test result shows that she is pregnant.