In the realm of statistical analysis, a Type I error can have serious consequences. A false positive occurs when we reject the null hypothesis when it is actually true. This means finding a relationship or effect that truly exist. As a result, false positives can result in wasted resources, incorrect decisions, and even negative outcomes. It is cru