Success/failure experiments are a type of random experiment where each trial results in one of two possible outcomes: success or failure. These experiments are foundational in probability theory and statistics, as they help model situations where events can be categorized in a binary manner, leading to the development of several key discrete probability distributions that quantify the likelihood of successes across trials.
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