Question

When we reject the null hypothesis when it is actually false, we have committed:

Option 1: No error
Option 2: A type I error
Option 3: A type II error
Option 4: Both a type I error and a type II error

Answer 1

A Type I error occurs when we reject the null hypothesis when it is actually true.

Step-by-step explanation:

A Type I error occurs when we reject the null hypothesis when it is actually true. This means that we make the incorrect decision to reject the null hypothesis when there is not enough evidence to do so. It is also known as a false positive. An example of a Type I error would be concluding that a new drug is effective when it actually has no effect.