Introduction
1. Definition: Random Variable
A random variable is the numerical description of the desired outcome of a
statistical experiment.
Example: (Desired Outcome) (Statistical experiment)
X= number of heads obtained in four tosses of a balanced coin
A random variable that may assume only a finite number or an infinite sequence
of values is said to be discrete (Specific number). These tend to be whole
numbers as the value is obtained by counting
One that may assume any value in some interval on the real number line is said
to be continuous. (Between two numbers). These tend to be fractions as
the value is obtained by measuring
, 2. Definition: Probability Distribution
Discrete probability distribution is a type of probability distribution that shows all
possible values of a discrete random variable along with the associated
probabilities
IMPORTANT
1. The probability of a Discrete function is called a probability mass function
2. The probability of a Continuous function is called a probability density
function (…..This will be discussed later)
1. Definition: Random Variable
A random variable is the numerical description of the desired outcome of a
statistical experiment.
Example: (Desired Outcome) (Statistical experiment)
X= number of heads obtained in four tosses of a balanced coin
A random variable that may assume only a finite number or an infinite sequence
of values is said to be discrete (Specific number). These tend to be whole
numbers as the value is obtained by counting
One that may assume any value in some interval on the real number line is said
to be continuous. (Between two numbers). These tend to be fractions as
the value is obtained by measuring
, 2. Definition: Probability Distribution
Discrete probability distribution is a type of probability distribution that shows all
possible values of a discrete random variable along with the associated
probabilities
IMPORTANT
1. The probability of a Discrete function is called a probability mass function
2. The probability of a Continuous function is called a probability density
function (…..This will be discussed later)
