Probability Distributions: Discrete Random Variables

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

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

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

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

Explores combinatorial mathematics, covering permutations, combinations, and binomial coefficients, along with probability and statistics concepts.

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

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

Covers random variables, probability functions, expectations, variances, and joint distributions.

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

Explores continuous random variables, cdf, pdf, convolution, and sum of dice.