CLASS 12 || LATE NIGHT MARATHON || UNIT - 4 || PROBABILITY ( সম্ভাবনা তত্ত্ব ) By Ayan sir #marathon

Introduction to Probability00:00:02

Ayan sir welcomes students to the marathon session, explaining the basics of probability, random experiments, sample spaces, and events.

Theoretical Foundations & Key Formulas00:12:12

Discussion on fundamental rules, including the range of probability [0, 1], union and intersection of events, and complementary events.

Independent vs Disjoint Events00:26:35

Explanation of the critical difference between independent events (multiplication rule) and disjoint/mutually exclusive events (addition rule).

Conditional Probability00:37:05

Deep dive into conditional probability, defining P(B|A) and P(A|B) with relevant examples and formulas.

Problem Solving: Numerical Applications00:43:33

Step-by-step solutions to various textbook problems including dice rolling scenarios, card probability, and exam failure/pass probability.