In epidemiology, the significance level, denoted by the Greek letter α (alpha), is a crucial concept in the realm of statistical hypothesis testing. It represents the probability of rejecting the null hypothesis when it is, in fact, true. This is also known as the probability of committing a Type I error. Typically, the significance level is set at 0.05, but it can vary depending on the study's requirements.
