Web Reference: 1 Chapter 8 Slides Learning Objectives 1. Calculate probabilities for discrete random variables 2. Calculate and graph a probability mass function (pmf) 3. Calculate and graph a cumulative distribution function (CDF) 2 Chapter 8 Slides Where are we? The two most common examples of probability mass functions in practice are for the Binomial distribution and the Poisson distribution. Binomial Distribution If a random variable X follows a Binomial distribution, then the probability that X = ksuccesses can be found by the following formula: P(X=k) = nCk * pk * (1-p)n-k where: 1. n:number of trials... Sometimes it is also known as the discrete probability density function. The probability mass function is often the primary means of defining a discrete probability distribution, and such functions exist for either scalar or multivariate random variables whose domain is discrete.
YouTube Excerpt: MIT RES.6-012
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