Random Variables

Random variables explained with definitions, types, probability distributions, and simple examples for understanding outcomes in probability.

1.Introduction to Random Variables

Understand random variables with simple explanations, meaning, usefulness, types, and examples that show how outcomes in probability can be represented using numbers.

2.Probability Mass Function (PMF)

Learn what a Probability Mass Function (PMF) is, how it represents probabilities for discrete random variables, its properties, and simple examples with tables.

3.Probability Density Function (PDF)

Understand the Probability Density Function (PDF) for continuous random variables, its meaning, properties, and examples showing how probability is found using area under a curve.

4.Distribution Function (CDF)

Learn what the Cumulative Distribution Function (CDF) is, how it represents probabilities for both discrete and continuous random variables, its properties, and simple examples.