When performing hypothesis evaluations, it's essential to recognize the risk for error. Specifically, we need to grapple with a couple of key types: Type 1 and Type 2. A Type 1 fault, also referred to as a "false positive," occurs when you falsely reject a valid null hypothesis – essentially, asserting there's an effect when there isn't really on