Question

Suppose the null hypothesis, H0, is: the mean age of the horses on a ranch is 6 years. What is the Type I error in this scenario? Select the correct answer below: You cannot conclude that the mean age of the horses on a ranch is 6 years when, in fact, it is. You cannot conclude that the mean age of the horses on a ranch is 6 years when, in fact, it is not. You cannot conclude that the mean age of the horses is not 6 years when, in fact, it is. You cannot conclude that the mean age of the horses is not 6 years when, in fact, it is not.

Answer 1

Answer:

Step-by-step explanation:

A type 1 error is committed when a true null hypothesis is rejected. Looking at the given scenario, given that the null hypothesis, H0 states is stated as follows:

The mean age of the horses on a ranch is 6 years, then a type 1 error would be made if the conclusion states that the mean age of the horses on a ranch is lesser or greater than 6 years when it is actually 6 years. Therefore, the correct option is

You cannot conclude that the mean age of the horses on a ranch is 6 years when, in fact, it is.