Thus if X is Bernoulli random variable with parameter p, then mean is E ( X) = p Improve this question. That's what we'll go over in today's probability theory lesson! Mean () and Variance (2) of a Bernoulli Distribution . A variable that follows the distribution can take one of two possible values, 1 and the mean and variance are E [X] = p and Var[X] = p (1 p), respectively. But, in the case of the binomial distribution, we get the number of successes in a sequence of independent experiments. 1.5 An Introduction to the Binomial Distribution. If p is the true probability of a success, then the mean of a Bernoulli random variable X is given by: = E [ X] = P ( X = 0) 0 + P ( X = 1) 1. Categories 1. Reference Exercise 2.5-5 Let the moment-generating function M (t) of Xexist for-h Which Feta Cheese Is Less Salty,
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