Lectures related to Probability and Events

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.

Covers the basics of probability theory, random variables, joint probability, and inference.

Explores the short history of probability and basic concepts like sample space and event.

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.

Introduces fundamental concepts of probability theory, including sample space, event space, and probability laws.

Introduces probability distributions, uniform distribution, probabilities of events, complements, unions, and disjoint events.

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Covers probability, statistics, independence, covariance, correlation, and random variables.