lecture notes

In the case of the coin we know x has two outcomes x1

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: alues based on chance. In the case of the coin, we know X has two outcomes, x1 =“heads” and x2 =“tails”. If the coin is fair, we know that it will be heads half the time and be tails half the time. In other words, if we denote the outcome of the coin flip by X , we know that ￿ ￿x1 ￿ ￿ X =￿ ￿x ￿2 ￿ ￿ with probability 1 2 with probability 1 . 2 And the above “distribution” of the probabilities over outcomes is the distribution of the random variable X . The likelihood that the random event will be a particular outcome (“heads” and “tails”) is called the density of the distribution. In reality, there are a lot of uncertain events. Most of them have very complicated outcomes, much more so than “heads” and “tails”. Therefore it is very useful to understand random 27 EC 271 Applied Statistical Methods: Lecture Notes (Leshui He) 2014 distributions with “continuous”, rather than “discrete”, o...
View Full Document

This document was uploaded on 03/27/2014 for the course MA 107 at Quinnipiac.

Ask a homework question - tutors are online