Answer:
Option D) Reject the claim that the proportion of Americans that have seen a UFO is equal to 5 in a thousand when that proportion is actually 5 in a thousand.
Explanation:
We are given the following information:
A hypothesis test to support the given claim that the proportion of Americans that have seen a UFO is less than 5 in a thousand.
Type I error:
- Type I error is the rejection of a true null hypothesis that is we reject the null hypothesis given it is true.
- It is also known as a false positive.
First, we design the null and the alternate hypothesis
![H_(0): \text{ The proportion of Americans that have seen a UFO is equal to 5 in a thousand}\\H_A: \text{ The proportion of Americans that have seen a UFO is less than 5 in a thousand}](https://img.qammunity.org/2020/formulas/mathematics/college/tyvj68w8w4ra2v4lj69g82r9yfycjy0pux.png)
Thus, for the given hypothesis test, we describe type I error as:
Option D) Reject the claim that the proportion of Americans that have seen a UFO is equal to 5 in a thousand when that proportion is actually 5 in a thousand.