Today we will continue to discuss Skorokhod theorem. Recall that the theorem mentions the stopping time in terms of a probability from the distribution.  The simpler case was the symmetrical random walk but Skorokhod embedding theorem works even better for the distribution. Moreover we use it for describing a random walk with a new random variable that can take values above a value a and below b.