Statistical distributions are mathematical models that represent the likelihood of various outcomes in a random experiment. They help in understanding, predicting, and analyzing data by assigning probabilities to all possible results. Common examples include the normal, binomial, and Poisson distributions, which are essential in AI for tasks like data modeling, hypothesis testing, and probabilistic reasoning.