Probabilities sum continuous probability distributions

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: ions • Develop discrete distribution by enumerating outcomes • Probability mass function • Cumulative distribution function • Use either PMF or CDF to get probabilities (sum) Continuous probability distributions • Probability density function • Cumulative distribution function • Use either PDF or CDF to get probabilities (integrate) Expected values All for both discrete or continuous distribution – Sum over all outcomes for discrete, integrate over all outcomes for continuous • Calculate expected value (mean) • Calculate variance and standard deviation • Definition of skewness • Mean and variance of transformed random variable • “Trick” – quicker calculation for variance Distributions: Uniform, binomial • Know what type of problems they are used for • Calculate probabilities and cumulative distributions (i.e. P(X) or P(a≤X≤b) • Invert probability distributions to determine X when given P • Combine probabilities obtained with these distributions...
View Full Document

This document was uploaded on 03/06/2014 for the course CEE 202 at University of Illinois, Urbana Champaign.

Ask a homework question - tutors are online