When performing hypothesis evaluations, it's critical to recognize the risk for error. Specifically, we need to grapple with two key types: Type 1 and Type 2. A Type 1 error, also referred to as a "false positive," occurs when you falsely reject a valid null hypothesis – essentially, suggesting there's an impact when there doesn't really one. Alt