come up with some example of the binomial probability distribution. Remember our definition: Def: Binomial probability distribution 1. procedure has fixed # of trials 2. trials must be independent 3. each trial must have all outcomes classified into 2 categories 4. probabilities must remain constant for each trial For example, we interview 50 lung cancer patients (fixed # of trials). They come from all occupations and parts of the state (independence). Either they smoked or did not smoke (2 categories). If 15% of the population smokes then the probability would remain constant for each trial equaling 15% or 0.15. This would meet the conditions for a binomial probability distribution. Come up with your own examples of a binomial probability distribution. It can be made up, you do not need actual numbers.
come up with some example of the binomial
Def: Binomial probability distribution
1. procedure has fixed # of trials
2. trials must be independent
3. each trial must have all outcomes classified into 2 categories
4. probabilities must remain constant for each trial
For example, we interview 50 lung cancer patients (fixed # of trials). They come from all occupations and parts of the state (independence). Either they smoked or did not smoke (2 categories). If 15% of the population smokes then the probability would remain constant for each trial equaling 15% or 0.15. This would meet the conditions for a binomial probability distribution.
Come up with your own examples of a binomial probability distribution. It can be made up, you do not need actual numbers.
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