Section3.4-students_SP11

Section3.4-students_SP11 - Probability Models for Random...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
1 Probability Models for Random Variables Most of our discussion of probability so far has been related to an experiment with a finite sample space where each outcome of the experiment is equally likely which lets us compute probabilities of events and define random variables which have probability distributions that we derive based on the experiment. (N total outcomes) Section 3.4 Probability Models for Random Variables In many applications, we identify an aspect of the experiment we are interested in: define a random variable to quantify this: assume a probability distribution for the random variable (a “ probability model ”) that is reasonable (based on known properties of the experiment and the probability distribution): answer the question we are interested in. “people calling in a tech support center” “X = number of calls per hour on the support line” “Poisson Distribution” Section 3.4
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
2 Common Probability Distributions
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This document was uploaded on 07/26/2011.

Page1 / 8

Section3.4-students_SP11 - Probability Models for Random...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online