Hypothesis Testing: alpha and beta errors

Prof. Mary Ferrill clarifies how to assess alpha and beta errors in this video.

From hypothesis testing, if there are four outcomes, you will have two ways of being correct, and two ways of being incorrect, which are referred to alpha and beta errors.

An alpha error is the error that clinicians are most concerned about. No one wants to find that treatment works when it actually doesn’t because that could harm patients.

Besides, we can learn the steps to assess alpha and beta errors with the diagram in this video.

What is the difference between alpha and beta errors? And how do we take the steps to rule them out? Please share your thoughts below.