In the realm of statistical analysis, a Type I error can have devastating consequences. A false positive occurs when we accept the null hypothesis despite it is actually true. This means finding a relationship or effect that doesn't exist. Therefore, false positives can cause wasted resources, misguided decisions, and even harmful outcomes. It is i