Sample Space Explained | Discrete & Continuous Sample Space with Examples | Probability Basics

Описание: 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

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