ACC 100 Lecture 6: Chapter 6
12 Dec 2015
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In this lesson, you will learn about discrete probability distributions and two examples of them binomial and poisson distributions. A random variable denoted by x or y is a variable whose value is determined by the outcome of a random experiment. A probability distribution of a discrete random variable is a mutually exclusive list of all possible occurrences of outcomes with their probabilities. The sample space s = {hhh, hht, hth, thh, tth, If x is the number of tails obtained in three tosses (x is called a discrete random variable), then the probability distribution of x is. 6. 4 mean or expected value of a discrete random variable. For our example, the expected value of obtaining 3 tails is 0 x 0. 125 + 1 x 0. 375. In the long run, the expected value of obtaining 3 tails is 1. 5 times. 6. 5 variance and standard deviation of a discrete random variable. The variance of a discrete random variable is.
