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In this video, we clearly explain one of the most fundamental concepts in Probability: 👉 (a) Sample Space 👉 (b) Discrete Sample Space 👉 (c) Continuous Sample Space These concepts form the base for understanding random variables, events, and probability distributions, which are used in Random Processes, Machine Learning, Data Science, and Engineering Mathematics. ✅ What You’ll Learn: What is a Sample Space in Probability Difference between Discrete and Continuous Sample Space Real-world examples for each type How to identify the type of sample space for a given experiment Importance of sample space in defining probability 💡 Examples Covered: Tossing a coin and rolling a die (Discrete) Measuring voltage, time, or temperature (Continuous) 🎯 Perfect For: B.Tech / M.Tech ECE, CSE, EEE, and Civil students GATE / ESE / UGC NET / University exams Beginners learning Probability, Statistics, or Random Process 🔥 By the end of this video, you’ll clearly understand how to identify and classify sample spaces for any experiment. 📚 Watch Next: 👉 Definition of Random Variable and Its Types 👉 Probability Density and Distribution Functions Explained 👉 Expectation and Variance in Probability 👍 Like, Share & Subscribe for more short and clear videos on Probability, Random Processes, and Signal Analysis.