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This lecture covers the concept of continuous random variables, focusing on probability density functions and cumulative distribution functions. It discusses properties and examples of continuous variables, such as the exponential, gamma, Laplace, and normal distributions. The lecture also explores transformations of random variables and the geometric distribution. Practical examples and calculations are provided to illustrate the theoretical concepts.