When running hypothesis analyses, it's vital to appreciate the chance for error. Specifically, we have to grapple with a couple of key types: Type 1 and Type 2. A Type 1 error, also known as a "false positive," occurs when you falsely reject a valid null hypothesis – essentially, asserting there's an relationship when there is really one. Conver… Read More