In the realm of hypothesis testing, two pivotal errors can arise: Type I and Type II. A Type I error, also known as a false positive, occurs when we disprove the null hypothesis when it is actually true. Conversely, a Type II error, or acceptance of falsehood, happens when we fail to reject the null hypothesis despite it being false. The probabi… Read More