Probability distributions describe how likely different outcomes are in a dataset, but they differ in their applications and characteristics. The normal distribution is continuous, symmetric, and often used for naturally occurring data like heights or test scores. The binomial distribution is discrete, used for outcomes with two possibilities, such as success or failure in repeated trials. The Poisson distribution is also discrete, modeling the number of events occurring in a fixed interval, like emails received per hour. If you want a clearer explanation and examples, you can Take my online statistics class for step-by-step guidance.