Type II Error Calculator

A type II error occurs in hypothesis tests when we fail to reject the null hypothesis when it actually is false. The probability of committing this type of error is called the beta level of a test, typically denoted as β.

To calculate the beta level for a given test, simply fill in the information below and then click the “Calculate” button.

Mean Under the Null Hypothesis

The True Mean

Standard Deviation

Sample Size

Alpha Level (α)

Beta Level (β): 0.16099