{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

chapter5

# chapter5 - CHAPTER 5 DISCRETE PROBABILITY DISTRIBUTIONS...

This preview shows pages 1–4. Sign up to view the full content.

CHAPTER 5: DISCRETE PROBABILITY DISTRIBUTIONS Objectives: 1. Understand the definition of random variable and be able to determine whether a random variable is discrete or continuous. 2. Understand the definition of probability distribution and probability function. 3. Be able to graph a discrete probability distribution. 4. Be able to calculate the mean and variance of a discrete probability distribution.

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

View Full Document
I. Section 5.1: Introduction A. A Random Variable is a variable whose values correspond to the outcome of an experiment. B. A numerical random variable can be classified as being either discrete or continuous . 1. A discrete random variable is one that may assume either a finite number of values or an infinite sequence of values such as 0,1,2,… (arises from the counting process) 2. A continuous random variable is one that may assume any numerical value in an interval or collection of intervals. (arises from a measuring process)
II. Discrete Probability Distribution (Section 5.2) A. A

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

View Full Document
This is the end of the preview. Sign up to access the rest of the document.
• Spring '08
• Nunnery
• Probability distribution, Probability theory, Discrete probability distribution, DiCarlo Automobile Dealership

{[ snackBarMessage ]}