When performing hypothesis analyses, it's critical to recognize the potential for error. Specifically, we must to grapple with two key types: Type 1 and Type 2. A Type 1 error, also known as a "false positive," occurs when you incorrectly reject a valid null hypothesis – essentially, asserting there's an effect when there isn't really one. On the