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Test called a Bernoulli random experiment with exactly two exits, one called success probability p and the other called failure probability 1 - p, since the sum of the probabilities of these two outcomes is equal to 1. The probability distribution of the random variable X, which combines the number one success and the number 0 to failure is called Bernoulli distribution with parameter p. This probability distribution is given by the following table: Values of k 0 1 P (X = k) 1 - pp Example The experience of choosing a random person in a population with ...
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