In statistics, a binomial distribution represents discrete data from repeated independent experiments with two possible outcomes (success or failure) and a fixed number of trials. It provides probabilities for each possible number of successes in those trials.
Think about flipping a fair coin multiple times. A binomial distribution would help us calculate the probabilities of getting a certain number of heads (successes) out of those flips.
Bernoulli Trial: A Bernoulli trial is an experiment with two possible outcomes, usually referred to as success and failure.
Probability Mass Function: The probability mass function (PMF) gives the probability that a discrete random variable takes on a specific value.
Expected Value: The expected value is the average outcome of a random variable over many trials. It represents the long-term average result.
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