ADMS 2300 Lecture Notes - Joint Probability Distribution, Standard Deviation, Variety Store

• School: York University
• Department: Administrative Studies
• Course: ADMS 2300
• Professor: all

Document Summary

In the following multiple-choice questions, please circle the correct answer. The weighted average of the possible values that a random variable x can assume, where the weights are the probabilities of occurrence of those values, is referred to as the: variance, standard deviation, expected value, covariance. The number of accidents that occur annually on a busy stretch of highway is an example of: a discrete random variable, a continuous random variable, a discrete probability distribution, a continuous probability distribution. A function or rule that assigns a numerical value to each simple event of an experiment is called: a sample space, a probability tree, a probability distribution, a random variable. If x and y are random variables, the sum of all the conditional probabilities of. X given a specific value of y will always be: 0. 0. 11: 1. 0, the average of the possible values of x, a value larger than zero but smaller than 1. 0.