Probability and distribution

This guide offers a structured breakdown of the core concepts used to measure chance and predict outcomes. It introduces you to foundational probability terminology, including experiments, outcomes and sample spaces. From there, you will explore the fundamental rules of probability, learning how to calculate the likelihood of events and distinguish between independent, dependent and mutually exclusive scenarios using practical tools like tree diagrams.

The material deepens your understanding by introducing the Normal Distribution as a key model for continuous data. You will learn about the properties of the bell curve, the empirical rule and how to use standard Z-scores and probability tables to calculate proportions under the curve. Perfect for students tackling introductory mathematics or science subjects, this resource equips you with the analytical tools to evaluate risk and interpret probability distributions with confidence.