When conducting hypothesis evaluations, it's essential to recognize the potential for error. Specifically, we have to grapple with several key types: Type 1 and Type 2. A Type 1 error, also called a "false positive," occurs when you wrongly reject a valid null hypothesis – essentially, claiming there's an impact when there doesn't really one. Al… Read More