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Random Variables
Understand the concept of random variables and their role in probability distributions.
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Learn the fundamentals of Probability Distributions and its importance in Probability Theory
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Probability Distributions Learning Map. 10 concepts.
Chapter structure
Each section groups closely related concepts and preserves the intended academic order.
Understand the concept of random variables and their role in probability distributions.
Explore distribution functions and learn how they describe the probability structure of random variables.
Study discrete random variables and the probability mass function (PMF) to model discrete outcomes.
Learn about key discrete probability distributions such as Binomial, Geometric, and Poisson distributions.
Understand continuous random variables and the probability density function (PDF) in probability theory.
Study important continuous distributions including Uniform, Exponential, and Normal distributions.
Learn about the Poisson process, modeling the occurrence of events over time or space.
Explore techniques for transforming random variables and deriving new distributions.
Understand mixed distributions which combine discrete and continuous components.
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Comprehensive module covering 5 sections in Functional Analysis.