Chapter 5 Discrete Probability Distributions

Chapter 5 Discrete Probability Distributions - Chapter 5...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon

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

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

Unformatted text preview: Chapter 5 Discrete Probability Distributions Random Variables- Random variables explain experimental outcomes using numerical values Discrete Random Variables- A discrete random variable is a random variable that can have either a finite or infinite number of values Continuous Random Variables- A continuous random variable is one that assumes a numerical value in an interval or collection of intervals Discrete Probability Distributions- A probability distribution for a random variable explains how probabilities are spread out over the values of the random variable- The probability distribution is defined by a probability function , f(x), which provides the probability for each value of the random variable- Using a random variable and its probability distribution, it is relatively easy to determine the probability of a variety of events- A discrete probability function requires that f(x) 0 and f(x) = 1- A discrete probability distribution given by a formula is the discrete uniform...
View Full Document

This note was uploaded on 04/07/2008 for the course ECO 145 taught by Professor Thornton during the Fall '07 term at Lehigh University .

Page1 / 2

Chapter 5 Discrete Probability Distributions - Chapter 5...

This preview shows document pages 1 - 2. Sign up to view the full document.

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