Answer:
Explanation:
"The researchers are conducting a hypothesis test in which a Type I error is very serious, and the Type II error is not very serious."
The Type I error (false positive) is equal to the level of significance. We then have to minimize it to minimize the Type I error.
A suitable level of significance could be
.
When the level of significance and the type I error is reduced, the probability of a Type II error increases (but is not very serious in this case).