Probability Fundamentals

Related lectures (29)

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

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

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

Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.

Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.

Covers basic probability theory, conditional probability, independence, and Bayes' Theorem.

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

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

Explores variance, covariance, and practical applications in statistics and probability.