Hypothesis testing is a fundamental principle in statistical analysis, used to evaluate whether there is sufficient evidence to nullify a claim about a population. However, this process is not without its challenges, 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 declar… Read More