# Generate the range of possible values for the Poisson distribution (0 to max(data)) x_values = np.arange(0, int(np.max(data)) + 1) # Calculate the Poisson PMF for ...
Given independent trials with (possibly different) success probabilities p1, p2, ..., pn, this repo computes the probability that the event happens in exactly one trial. Formally, for p = [p1, ..., pn ...
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