When your decision is to fail to reject the null hypothesis but in reality it is false (e.g., there actually is a difference between groups), you are making a _____________?
When your decision is to fail to reject the null hypothesis but in reality, it is false (e.g., there actually is a difference between groups), you are making a Type II error. The probability of this error is denoted by the beta (β).
