Probability and Statistics | Lec-24 | Uniform Random Variable | Mean, Variance & Examples Explained

In this lecture on Probability and Statistics, we discuss the Uniform Random Variable, a fundamental continuous distribution where all outcomes within a specified interval are equally likely. The lecture covers the mean and variance of the uniform distribution, along with detailed examples to illustrate these concepts.

📌 Topics Covered:
✅ Definition of Uniform Random Variable
✅ Mean and Variance of Uniform Distribution
✅ Solved Examples for Better Understanding

This lecture follows standard references, including:
📖 Michael Baron, Probability and Statistics for Computer Scientists (Second Edition)
📖 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)

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