Probability and Statistics | Lec-10 | Random Variables | Discrete & Continuous Random Variables

In this lecture on Probability and Statistics, we introduce Random Variables, covering both Discrete and Continuous Random Variables with intuitive explanations and examples. Understanding random variables is crucial for probability theory and statistical analysis, as they bridge real-world data with mathematical models. 📌 Topics Covered: ✅ Definition of Random Variables ✅ Discrete vs. Continuous Random Variables ✅ Real-life 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!