Provide one (1) real-life example or application of a binomial distribution. Explain how the example matches the conditions for the binomial distribution.
Binomial distribution describes the possible number of times that a particular event will occur in a sequence of observation.
The conditions for the binomial distribution.
1) Each trial can have only two outcomes which can be considered success or failure.
2) There must be a fixed number of trials.
3) The outcomes for each trials must be independent to each other.
4) The probability of success must remain the same in each trial.
Lest see a real-life example of the binomial distribution.
A certain surgical procedure has an 85% chance of success. A doctor performs the procedure on eight patients.
The random variable the number of successful surgeries.
Each surgery represents a trial.
There are eight surgeries and each one is independent of the others.
There are only two possible outcomes of interest for each surgery: success and failure.
The probability of success is 0.85 for each surgery.
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