With a continuous random variable, X, it is evident that the sum of the usual upper-tail probability, P(X≥x), and the lower-tail probability, P(X≤x), is 1. However, with a discrete random variable this sum is equal to 1+P(X=x). This suggests that, for example, the calculation of the upper-tail probability should then use mid-P, defined as