Probability and Statistics | Lec-11 | Discrete Random Variable & Probability Mass Function (PMF)

In this lecture on Probability and Statistics, we explore Discrete Random Variables and their Probability Mass Functions (PMF) in detail. The PMF is a fundamental concept that describes how probabilities are assigned to discrete outcomes. Through clear explanations and solved examples, we make these concepts intuitive and easy to grasp. 📌 Topics Covered: ✅ Discrete Random Variables ✅ Understanding Probability Mass Functions (PMF) ✅ Solved Examples and Applications This lecture follows standard references, including: 📖 Jay L. Devore, Probability and Statistics for Engineering and the Sciences (8th Edition) 📖 S. Ross, A First Course in Probability (10th Edition, Pearson Education) 📖 J. E. Freund & R. E. Walpole, Mathematical Statistics (4th Edition, Prentice Hall) 🔔 Subscribe to the channel for more lectures on Probability & Statistics 📊 📢 Like, Share & Comment if you find this video helpful!