Answer:
Type I error:
a. The rainfall is minimal enough to operate safely, and the ride is shut down.
Type II error:
d. The rainfall is too heavy to operate safely, and the ride continues to operate.
Step-by-step explanation:
In this case:
The null hypothesis (H0) states that mean rainfall is minimal
The alternative hypothesis (H1) states that mean rainfall is heavy.
A type I error occurs if one rejects the null hypothesis when it is actually true.
In this case; if the rainfall is minimal enough to operate safely and the ride is shut down is an example of Type I error because the null hypothesis is true and it is rejected.
A type II error occurs if one does not reject the null hypothesis when it is false, that is one accept the null hypothesis when it is false.
In this case; the null hypothesis is false and it is accepted is an example of type II error. So, the rainfall is too heavy to operate safely (means null hypothesis is false) and the ride continues to operate (means the null hypothesis is accepted when it is false).
