Hypothesis testing is a fundamental concept in statistical analysis, used to determine whether there is sufficient evidence to reject a claim about a population. However, this process is not without its risks, as two common types of errors can arise: Type I and Type II. A Type I error, also known as a false positive, occurs when we declare that the