Binomial probability describes the likelihood of obtaining a specified number of successes in a fixed number of independent trials, each with two outcomes and the same success probability . The calculation supports finding exact probabilities and ranges such as “at most” or “at least,” while interpreting , , and ; the model does not apply when trials are dependent or their probabilities change. More advanced approximations and generalized distributions are beyond this scope.
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A binomial probability is used when:
The probability of getting exactly successes is
where:
A basketball player makes a free throw with probability . What is the probability that the player makes exactly out of free throws?
There are trials, so .
The desired number of successes is , so .
The probability of success is .
The probability of failure is
So,
Therefore, the probability that the player makes exactly out of free throws is
or approximately .
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