When conducting hypothesis evaluations, it's essential to recognize the risk for error. Specifically, we need to grapple with several key types: Type 1 and Type 2. A Type 1 error, also called a "false positive," occurs when you falsely reject a true null hypothesis – essentially, claiming there's an relationship when there is really one. Converse