In the realm of hypothesis testing, two pivotal errors can happen: Type I and Type II. A Type I error, also known as a incorrect rejection, occurs when we reject the null hypothesis when it is actually true. Conversely, a Type II error, or acceptance of falsehood, happens when we accept the null hypothesis despite it being false. The probability of