Statistics Lecture 14 Part 2 | Probability & Counting Rule | Classical vs Empirical Probability

Описание: Welcome to Lecture 14 Part 2 of the Statistics in Bangla Tutorial Series

In this lecture, we continue our journey into Probability by exploring Counting Rules, Classical Probability, and Empirical (Relative Frequency) Probability. These concepts are the backbone of probability theory and are widely used in both academics and competitive exams.

📚 Topics Covered in this Lecture:
Introduction to Probability and Counting Rules
Classical Probability – based on equally likely outcomes
Empirical / Relative Frequency Probability – based on experiments and observations
Differences between Classical and Empirical Probability
Step-by-step examples explained in Bangla
Applications in real-life and exam-based problems

✨ Why Watch This Lecture?
Ideal for University & College Students (CSE, Statistics, Data Science, Mathematics)
Essential for Competitive Exam Preparation (BSC, Bank, Admission Tests)
Great for Beginners learning probability basics in Bangla

👉 By the end of this tutorial, you will:
✅ Understand Classical vs Empirical Probability
✅ Learn how to apply Counting Rules in probability problems
✅ Gain confidence in solving both theory and practical probability questions

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