COMM 215 Lecture Notes - Lecture 5: Probability Distribution, Binomial Distribution, Random Variable
Document Summary
Random variable: takes on different numerical values based on the chance of some event. Discrete random variable: can only assume a ne number of values or an in nite sequence of values such as 0,1,2, . Continuous random variable: can assume an uncountable in nite number of values. Expected value: the mean of a probability distribution. The average value when the experiment that generates values for the random variable is repeated over the long run. Standard deviation: measures the spread (or dispersion) in a set of data. Also measures the spread in values of a random variable. Binomial probability distribution: a distribution that gives the probability of x successes in n trials in a process that meets the following conditions : A trial has only 2 outcomes (a success and a failure) There is a xed number (n) of identical trials.
