Covers continuous random variables, probability density functions, and distributions, with practical examples.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Introduces the concept of the distribution of a random variable and explores specific cases of discrete and continuous random variables.
Covers properties and transformations of discrete random variables, focusing on PMF and expectation.
Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.
