In the realm of statistical analysis, a Type I error can have significant consequences. A false positive occurs when we accept the null hypothesis when it is actually true. This means detecting a relationship or effect that doesn't exist. As a result, false positives can cause wasted resources, incorrect decisions, and even negative outcomes. It is