Python Specials #5 Binomial Distribution

The binomial distribution models the probability of a sequence of binary outcomes, where there are n independent trials and the probability of success on each trial is p. The distribution is parameterized by two values: n, the number of trials, and p, the probability of success on each trial. The binomial distribution gives the probability of getting exactly k successes in n trials.

In the code example, we create a binom object from the scipy.stats module with the given values of n and p, and then use its pmf method to calculate the probability of getting exactly 3 successes. We also use its rvs method to generate a sample of 10 outcomes from the distribution, and plot the PMF of the distribution using matplotlib.

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