Reword the following answer: A Type I error, also known as a false positive, occurs when we reject a true null hypothesis. In this case, because we are testing if the proportion of Americans that have seen a UFO is less than 5 in a thousand, the null hypothesis is that the proportion is equal to or more than 5 in a thousand. To translate into these multiple choices, the Type I error would be: A. Reject the claim (null hypothesis) that the proportion of Americans that have seen a UFO is equal to 5 in a thousand when that proportion (the null hypothesis) is actually true (equal to or more than 5 in a thousand). Therefore, all the options given are not correct according to the concept of Type I error. We need an option that states "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 equal to or more than 5 in a thousand." So, the proper answer isn't listed among the options A, B, C, or D