Distribution of Random Variables

Related lectures (29)

Page 3 of 3

Covers the fundamentals of probability theory, including corollaries, conditional probability, total probability theorem, and random variables.

Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.

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

Covers properties and calculations related to the normal distribution, including probabilities and quantiles.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Covers the basics of Probability Density Function (PDF) in probability theory.

Covers the normal distribution, including its properties and calculations.

Covers conditional density, independence of random variables, expectation, and variance calculation.

Covers properties and transformations of discrete random variables, focusing on PMF and expectation.