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Banking Quant Mastery: Arithmetic to Data Sufficiency
Module 4: Geometry, Counting and Pattern Logic
1. Number System, Simplification and Approximation for Banking Exams
2. Ratio, Proportion and Partnership Without Slow Algebra
3. Percentage Mastery for Speed and Accuracy
4. Profit, Loss, Discount and Marked Price
5. Simple Interest vs Compound Interest
6. Average and Ages Problem Framework
10. Mixture and Alligation Made Practical
7. Time and Work, Efficiency, Pipes and Cisterns
8. Speed, Time and Distance Shortcuts
9. Boats and Streams with Relative Speed Logic
11. Mensuration Formulas That Actually Matter
12. Permutation, Combination and Probability Basics
13. Number Series Pattern Recognition
14. Inequality and Order-Based Comparison
15. Data Interpretation for Banking Mocks
16. Data Sufficiency Decision Method
CONTENTS

12. Permutation, Combination and Probability Basics

Learn how to decide whether order matters, count arrangements, and convert favourable outcomes into probability.

banking quant
permutation
combination
probability
May 18, 20266 views0 likes0 fires
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Why This Chapter Matters

This chapter feels abstract only until you ask one question first: does order matter? That decision usually chooses the right method.

Core Ideas

  • Permutation counts ordered arrangements. Combination counts unordered selections.
  • Use n! for factorial-based counting, where n!=n(n−1)(n−2)…1.
  • Probability =\frac{\text{favourable outcomes}}{\text{total outcomes}.
  • In digit-formation questions, the first place often has an extra restriction because zero may not be allowed there.
  • For at least one success, it is often faster to use the complement method.
  • When repeated items exist, divide by repeated factorial counts to remove overcounting.

High-Value Formulas

ConceptFormula / Rule
Permutationn​Pr​=(n−r)!n!​
Combinationn​Cr​=r!(n−r)!n!​
ProbabilityP(E)=totalfavourable​
Complement ruleP(at least one)=1−P(none)

How To Approach Questions

  1. Decide whether arrangement order matters.
  2. Count the total outcomes first, then the favourable outcomes.
  3. If there is a forbidden position or repeated object, handle that restriction explicitly.
  4. Watch for replacement or no-replacement conditions.

Worked Examples

Example 1

Prompt: How many ways can 3 people be arranged in a row?

Approach: The arrangement count is 3!=6.

Example 2

Prompt: How many ways can 2 books be chosen from 5 books?

Approach: Since order does not matter, use 5​C2​=10.

Example 3

Prompt: How many different 3-digit numbers can be formed using the digits 1,2,3,4 without repetition?

Approach: This is an arrangement of 3 places from 4 distinct digits, so the count is 4​P3​=24.

Example 4

Prompt: Two fair dice are thrown. What is the probability that the sum is 8?

Approach: Favourable outcomes are (2,6),(3,5),(4,4),(5,3),(6,2), so probability =365​.

Common Mistakes

  • Using permutation when order does not matter.
  • Forgetting to divide for repeated objects.
  • Counting only favourable cases without defining total cases properly.
  • Treating no-replacement problems as if each draw is independent.

Quick Revision

Ask whether order matters, then count carefully and simplify.

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mediumBanking Quantitative Aptitude
Chapter Mock 12: Permutation, Combination and Probability
15 questions14 min
Lesson 2 of 4 in Module 4: Geometry, Counting and Pattern Logic
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11. Mensuration Formulas That Actually Matter
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13. Number Series Pattern Recognition
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