STAT 263 Lecture 12: Chapter 8 Lecture Notes
30 May 2017
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Random variable: variable whose value is determined by the outcome of a random experiment. Number of people who will be on the elevator when it stops on your floor. Discrete random variable: assumes a finite number of values or a countable infinite number of values (as many values as there are whole numbers) The roll on which a die comes up 5 for the first time (can take on a countable infinity 1,2,3, ) Continuous random variable: arises when we deal with quantities that are measured on a continuous scale. The amount of alcohol in a person"s blood, height. When p = 0. 5, we get a mound shape. When p = 0. 1 or p = 0. 9 we get skewness. If n objects are to be selected without replacement from a set of a objects of one kind (success) and b objects of another kind (failures), the probability of observing x successes is:
