A random process is a sequence of events or outcomes that occur in a way that cannot be precisely predicted. These processes are often described using probability, which helps to quantify the likelihood of different outcomes. Examples of random processes include coin flips, dice rolls, and weather patterns, where each event can lead to various results. In mathematics and statistics, random processes are studied to understand their behavior over time. They can be classified into different types, such as Markov processes and stochastic processes, which help model systems that evolve in a random manner. These concepts are widely used in fields like finance, engineering, and science.