A random variable is a variable whose value depends on the outcome of a random event
The value of the random variable is not known until the event is carried out (this is what is meant by 'random' in this case)
A discrete random variable (often abbreviated to DRV) can only take certain values within a set
Discrete random variables usually count something
Discrete random variables usually can only take a finite number of values but it is possible that it can take an infinite number of values (see the examples below)
Examples of discrete random variables include:
The number of times a coin lands on heads when flipped 20 times
this has a finite number of outcomes: {0,1,2,…,20}
The number of emails a manager receives within an hour
this has an infinite number of outcomes: {1,2,3,…}
The number of times a dice is rolled until it lands on a 6
this has an infinite number of outcomes: {1,2,3,…}
The number that a dice lands on when rolled once
this has a finite number of outcomes: {1,2,3,4,5,6}
What is a probability distribution of a discrete random variable?
A discrete probability distribution fully describes all the values that a discrete random variable can take along with their associated probabilities
This can be given in a table
Or it can be given as a function (called a discrete probability distribution function or "pdf")
They can be represented by vertical line graphs (the possible values for along the horizontal axis and the probability on the vertical axis)
The sum of the probabilities of all the values of a discrete random variable is 1
How do I calculate probabilities using a discrete probability distribution?
First draw a table to represent the probability distribution
If it is given as a function then find each probability
If any probabilities are unknown then use algebra to represent them