Discrete Probability Distributions
A
discrete probability distribution
can be
represented by a table with two columns.
The first
column lists the possible values of the discrete
random variable.
The second column is a list of their
corresponding probabilities.
A
random variable
is a numerical description of the
outcome of a statistical experiment.
A random variable that can assume either a finite
number of values or an infinite sequence of values is
a
discrete random variable
.
Examples of discrete random variables
.
1. The number of students in class on a given day.
2.
The number of remaining SEC football games
that USC will win.
3. The number of stocks in the DJIA that end in the
red today.
4. The number of vehicles sold by Midlands Honda
this month.
5. The number of customers contacted today who
place an order.
87
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentA random variable that may assume any numerical
value in an interval is called a
continuous random
variable
. Examples of continuous random variables
would be:
1. Amount of jet fuel used by a Boeing 737 on
USAir Flt. No. 1470
2. Amount of coffee in a large Dunkin Donuts’
This is the end of the preview.
Sign up
to
access the rest of the document.
 Fall '09
 Rollins
 Probability distribution, Probability theory

Click to edit the document details