When conducting hypothesis evaluations, it's essential to appreciate the risk for error. Specifically, we have to grapple with two key types: Type 1 and Type 2. A Type 1 fault, also referred to as a "false positive," occurs when you incorrectly reject a valid null hypothesis – essentially, asserting there's an impact when there doesn't really on… Read More