Created
May 25, 2019 07:25
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| import random | |
| def bernoulli_trial(p): | |
| return 1 if random.random() < p else 0 | |
| def binomial(n,p): | |
| return sum(bernoulli_trial(p) for _ in range(n)) | |
| # Suppose this problem, there are 9 people selected (n = number of trials = 9). The probability of success is 0.62. | |
| print(binomial(9,0.62)) |
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