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If we use  p to denote the probability of success, and, therefore, 1 − p is the probability of ""

Question

If we use p to denote the probability of success, and, therefore, 1 − p is the probability of ""

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Solution

failure, then the probability distribution of a binomial random variable is given by the formula:

P(X = k) = C(n, k) * (p^k) * ((1 - p)^(n - k))

Where:

  • P(X = k) is the probability of k successes in n trials
  • C(n, k) is the combination of n items taken k at a time
  • p is the probability of success
  • 1 - p is the probability of failure
  • n is the number of trials
  • k is the number of successes

This formula gives us the probability of getting exactly k successes in n trials.

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