The binomial distribution models the number of successes in n independent trials.
P(X=k) = C(n,k) × pᵏ × (1−p)^(n−k).
Mean = n×p. Variance = n×p×(1−p).
It's the probability of getting exactly k successes in n trials, each with probability p.
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