A Probability Mass Function (PMF) provides the probability that a discrete random variable is exactly equal to a specific value, serving as a fundamental tool for understanding discrete probability distributions. It is essential for calculating probabilities, expected values, and variances, and forms the basis for more complex statistical analyses involving discrete data.