Chapter 05 - Discrete Random Variables
5-1
CHAPTER 5—Discrete Random Variables
5.1
A random variable is a variable that assumes numerical values determined by the outcome of
an experiment.
LO1
5.2
The values of a discrete random variable can be counted, or listed; the values of a continuous
random variable cannot be counted, or listed.
LO1
5.3
a.
Discrete
b.
Discrete
c.
Continuous
d.
Discrete
e.
Discrete
f.
Continuous
g.
Continuous
LO1
5.4
The probability distribution of a discrete random variable is a table, graph, or formula that
gives the probability associated with each possible value that the random variable can assume.
LO2
5.5
The probability of each possible outcome is > 0, and the sum of the probabilities of all possible
outcomes is 1.
LO2
5.6
The mean is the sum of each possible value of
x
multiplied by the probability of that value of
x
.
This represents the mean expected value of
x
.
The standard deviation is the square root of the probability weighted sum of the squared
deviations from the mean.
LO2
5.7
The standard deviation measures the spread of the population of the random variable.
LO2

This
** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up*