Type 2 Error Calculation Example Lower Tail

Introduction & Importance

Type 2 error, also known as a beta error, occurs when you fail to reject a null hypothesis that is actually false. In other words, it’s a false negative. Understanding and calculating type 2 error is crucial in hypothesis testing to ensure the reliability of your results.