Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about variance and its statistical applications in this comprehensive lecture that covers key probability concepts including expectations, simpler expected value, and geometric distribution. Explore practical examples that demonstrate how variance measures the spread of data points around the mean, while gaining insights into probability theory fundamentals. Master the mathematical foundations needed to understand data dispersion and statistical distributions through detailed explanations and real-world applications.