Permutation & Combination One Shot | CA Foundation Quantitative Aptitude | Rahul Bhutani Sir π₯
VishwasCAγ»143 minutes read
Understanding permutation and combination in numbers four to five is crucial for probability and theoretical studies, with various practical examples and calculations provided to solidify the concepts. The text delves into factorial methods, circular arrangements, and permutations with restrictions, emphasizing the importance of specific conditions and detailed calculations in different scenarios.
Insights
- Understanding permutation and combination is crucial for probability and theory studies, emphasizing the importance of mastering foundational concepts.
- The multiplication rule explains simultaneous tasks, while the addition rule is introduced for scenarios requiring one of multiple tasks to be done, showcasing different calculation methods.
- Factorials play a key role in calculating permutations and combinations, with factorial values increasing with each number and simplifying complex calculations.
- Arranging items with specific conditions, such as restrictions or preferences, involves applying formulas and selection processes to determine the number of ways items can be arranged, highlighting practical applications of permutation and combination theories.
Get key ideas from YouTube videos. Itβs free
Recent questions
What is permutation and combination?
Permutation arranges, combination selects without order.
How is the multiplication rule applied?
Multiplication rule is used for simultaneous tasks.
What is the factorial method?
Factorial method calculates permutations and combinations.
How is the combination formula derived?
Combination formula simplifies to n! / (r! * (n-r)!).
How are items arranged with restrictions?
Items are arranged based on specific conditions.
Related videos
Manocha Academy
Permutation and Combination Class 11
The GCSE Maths Tutor
All of Probability in 30 Minutes!! Foundation & Higher Grades 4-9 Maths Revision | GCSE Maths Tutor
The Organic Chemistry Tutor
Finding The Probability of a Binomial Distribution Plus Mean & Standard Deviation
Mathe by Daniel Jung
1. & 2. Pfadregel in der Wahrscheinlichkeitsrechnung | Mathe by Daniel Jung
Harvard University
Lecture 2: Story Proofs, Axioms of Probability | Statistics 110