Bernoulli trials are a sequence of experiments or observations where each trial has only two possible outcomes: success or failure. Each trial is independent, meaning the outcome of one trial does not affect the others. A common example is flipping a coin, where the two outcomes are heads (success) or tails (failure). The probability of success remains constant across all trials. This concept is fundamental in probability theory and is used in various applications, including binomial distributions and statistical analysis. Understanding Bernoulli trials helps in modeling situations where outcomes are binary and assists in making predictions based on probabilities.