given the following null hypothesis, give an example of a type I error.

Ho: There is no difference between the number of males or females who go to their primary care physician for an annual exam.

A type I error refers to rejecting a null hypothesis when it is actually true. In this case, the null hypothesis (Ho) states that "there is no difference between the number of males or females who go to their primary care physician for an annual exam." Therefore, a type I error would occur if we reject this null hypothesis and conclude that there is a difference between the number of males and females who go for an annual exam when, in reality, there is no significant difference.

For example, let's say that a research study is conducted to investigate this hypothesis. The data collected shows that there is a small difference in the number of males and females who visit their primary care physician for an annual exam, but this difference is likely due to random chance and does not actually represent a true difference. However, if the researchers incorrectly reject the null hypothesis, concluding that there is a significant difference between the two groups, then a type I error would be made.