Probability and Statistics: Discrete Random Variables

Related lectures (29)

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Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

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

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

Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.

Explores random variables, expectation, and independence in probability theory.

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

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

Explores binomial and Poisson mass functions, calculating probabilities and discussing distribution functions of random variables.

Covers discrete random variables, probability mass function, properties, and binomial distribution with illustrative examples.