The Bernoulli distribution is a discrete probability distribution that describes a random variable which takes the value of 1 with probability 'p' (success) and the value of 0 with probability '1-p' (failure). It serves as the foundational building block for more complex distributions, particularly in scenarios involving binary outcomes, such as coin flips or yes/no questions.
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