Random Variable Represents all possibilities numeric value from a random experiment.
Goal : random variable is a step in statistics to quantify events events from an experiment.
Random variables are denoted by capital letters (eg X, Y, Z) where as random variable values are denoted by lowercase letters (x, y, z).
Illustration: One coin is thrown 2 time. So when you toss one coin, there are only two possibilities – a head (H) or a tail (L). Random variable X is number of sides H. So the random variable value are x= 0, 1, 2
Types of Random Variable
DISCRETE :
A set of values from a random variable that the value is discrete, The value is a count. Example: Variable random X = the number of success penalty kicks of player A.
CONTINUOUS :
The values of the random variables which are continuous value. The value is in the form of an interval. Exmaple Variable random X = height (cm)
Examples of Random Variables:
Waiting time in an event queue (continuous)
The number of cars entering parking area per hour (discrete)
How long it takes to call someone (continuous)
The number of books read by student (discrete)
