Probability

Probability explained with basic concepts, rules, sample space, events, and simple examples for understanding chance and outcomes.

1.Basic Probability Concepts

Understand basic probability concepts including experiments, outcomes, sample space, events, classical probability, and important properties with simple examples.

2.Addition Theorem of Probability

Understand the addition theorem of probability, including the rule for mutually exclusive events and the general addition rule, with clear explanations and simple examples.

3.Conditional Probability

Understand conditional probability with clear explanations, intuitive meaning, formula, and simple examples to show how the probability of one event changes when another event is known to occur.

4.Multiplication Theorem of Probability

Learn the multiplication theorem of probability, including the general rule, the special rule for independent events, and clear examples showing how probabilities of joint events are found.

5.Independent Events

Learn what independent events are in probability, how to identify them, their properties, and how to compute probabilities when two events do not affect each other.

6.Bayes' Theorem

Understand Bayes' Theorem through simple explanations, the concept of reversing conditional probabilities, the formula, and clear examples showing how updated information changes probability.