Discrete Random Variables

Related lectures (30)

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Explores discrete random variables, mass functions, and distribution functions in probability and statistics.

Covers the normal distribution, including its properties and calculations.

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

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

Explores Bayes' Theorem for defective parts detection, discrete random variables, and distribution functions, with practical examples and exercises.

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

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

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

Introduces continuous random variables and their probability distributions, emphasizing their applications in statistics and data science.

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.