Permutations and Combinations

CSEC Additional Mathematics Essential Knowledge: Permutations and combinations are fundamental counting techniques used to determine the number of ways to arrange or select objects. These concepts are essential for probability calculations and appear in various real-world scenarios from lottery odds to password security.

Key Concept: Permutations concern arrangements where order matters. Combinations concern selections where order does not matter. The fundamental difference lies in whether the sequence/positioning of items is important.

Part 1: Fundamental Counting Principle & Factorials

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Building Blocks of Counting

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Fundamental Counting Principle

If one event can occur in \(m\) ways and a second event can occur in \(n\) ways, then the two events can occur in \(m \times n\) ways.

\[\text{Total ways} = m \times n\]
📝 Example 1: Basic Counting

A restaurant offers 3 types of appetizers and 4 types of main courses. How many different meals (appetizer + main course) can be ordered?

1
Appetizers: 3 choices
2
Main courses: 4 choices
3
Total meals: \(3 \times 4 = 12\)
Factorial Notation

The factorial of a non-negative integer \(n\), denoted \(n!\), is the product of all positive integers less than or equal to \(n\).

\[n! = n \times (n-1) \times (n-2) \times \cdots \times 3 \times 2 \times 1\]

Special cases: \(0! = 1\), \(1! = 1\)

Examples:

\(5! = 5 \times 4 \times 3 \times 2 \times 1 = 120\)

\(4! = 4 \times 3 \times 2 \times 1 = 24\)

\(\frac{8!}{6!} = \frac{8 \times 7 \times 6!}{6!} = 8 \times 7 = 56\)

Part 2: Permutations

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Arrangements Where Order Matters

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Permutations of n Distinct Objects

The number of ways to arrange \(n\) distinct objects in a row:

\[P(n, n) = n!\]

The number of ways to arrange \(r\) objects from \(n\) distinct objects:

\[P(n, r) = \frac{n!}{(n-r)!}\]

Notation: Also written as \(^nP_r\) or \(P_r^n\)

📝 Example 2: Basic Permutation

In a race with 8 runners, how many ways can gold, silver, and bronze medals be awarded?

1
Identify: Order matters (gold ≠ silver ≠ bronze), so use permutations
2
Parameters: \(n = 8\) runners, \(r = 3\) medals
3
Apply formula: \(P(8, 3) = \frac{8!}{(8-3)!} = \frac{8!}{5!}\)
4
Calculate: \(8 \times 7 \times 6 = 336\) ways
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Permutations with Repeated Objects

When arranging \(n\) objects where some are identical:

\[\frac{n!}{n_1! \times n_2! \times \cdots \times n_k!}\]

Where \(n_1, n_2, \ldots, n_k\) are the counts of each type of identical object.

📝 Example 3: Repeated Letters

How many different arrangements can be made from the letters of “MISSISSIPPI”?

1
Count letters: 11 letters total
2
Count repetitions: M:1, I:4, S:4, P:2
3
Apply formula: \(\frac{11!}{4! \times 4! \times 2!}\)
4
Calculate: \(\frac{39916800}{24 \times 24 \times 2} = \frac{39916800}{1152} = 34,650\)
Circular Permutations

Arranging objects in a circle (rotations considered the same):

\[(n-1)!\]

For \(n\) distinct objects arranged around a circle.

📝 Example 4: Seating Arrangement

In how many ways can 6 people be seated around a circular table?

1
Circular arrangement: Use \((n-1)!\)
2
Calculate: \((6-1)! = 5! = 120\) ways

Part 3: Combinations

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Selections Where Order Doesn’t Matter

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Combinations Formula

The number of ways to choose \(r\) objects from \(n\) distinct objects (order unimportant):

\[C(n, r) = \frac{n!}{r!(n-r)!}\]

Notation: Also written as \(^nC_r\), \(C_r^n\), or \(\binom{n}{r}\) (binomial coefficient)

\(C(n, r)\)

Choose r from n

\(C(n, r) = C(n, n-r)\)

Symmetry property

\(C(n, 0) = 1\)

One way to choose nothing

📝 Example 5: Basic Combination

A committee of 4 people is to be chosen from 10 candidates. How many different committees are possible?

1
Identify: Order doesn’t matter (committee members are not ranked), so use combinations
2
Parameters: \(n = 10\), \(r = 4\)
3
Apply formula: \(C(10, 4) = \frac{10!}{4!(10-4)!} = \frac{10!}{4!6!}\)
4
Calculate: \(\frac{10 \times 9 \times 8 \times 7}{4 \times 3 \times 2 \times 1} = \frac{5040}{24} = 210\)
📝 Example 6: Using Symmetry Property

Calculate \(C(100, 98)\).

1
Use symmetry: \(C(100, 98) = C(100, 100-98) = C(100, 2)\)
2
Calculate simpler form: \(C(100, 2) = \frac{100 \times 99}{2 \times 1}\)
3
Result: \(\frac{9900}{2} = 4950\)
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Permutations vs Combinations: Key Difference
Aspect Permutations Combinations
Order matters? YES NO
Formula \(P(n, r) = \frac{n!}{(n-r)!}\) \(C(n, r) = \frac{n!}{r!(n-r)!}\)
Example situation Race positions (1st, 2nd, 3rd) Committee selection
Relationship \(P(n, r) = C(n, r) \times r!\)
Permutations = Combinations × arrangements of selected items

Part 4: Decision Tree – Which Method to Use?

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Step-by-Step Problem Solving Guide

Start: Are we arranging/selecting items?
Does ORDER matter?
• Positions ranked?
• Arrangement specific?
YES → Use PERMUTATIONS \(P(n, r)\)
Examples: passwords, race positions, seating arrangements
NO → Use COMBINATIONS \(C(n, r)\)
Examples: committees, lottery numbers, handshakes
Special cases:
• Repeated objects: \(\frac{n!}{n_1!n_2!\cdots}\)
• Circular arrangements: \((n-1)!\)
• Restrictions: handle separately

Memory Aid: Permutations = Positions matter. Combinations = Choices only. If you can swap two items and get the same result → Combinations. If swapping gives a different result → Permutations.

Part 5: Applications with Restrictions

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Problems with Conditions and Limitations

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Handling Restrictions

When dealing with restrictions (certain items must/must not be together or in specific positions):

  1. Treat restricted items as a unit if they must be together
  2. Consider cases separately if items must not be together
  3. Fill restricted positions first, then the remaining positions
📝 Example 7: Items That Must Be Together

In how many ways can 5 people be arranged in a row if 2 specific people must sit together?

1
Treat the pair as a single unit: Now we have 4 units (the pair + 3 individuals)
2
Arrange the 4 units: \(4! = 24\) ways
3
Arrange the 2 people within their unit: \(2! = 2\) ways
4
Multiply: \(24 \times 2 = 48\) total arrangements
📝 Example 8: Items That Must Not Be Together

In how many ways can 5 books be arranged on a shelf if 2 specific books must not be adjacent?

1
Total arrangements without restrictions: \(5! = 120\)
2
Arrangements where they ARE together: Treat as unit: \(4! \times 2! = 24 \times 2 = 48\)
3
Subtract: \(120 – 48 = 72\) arrangements where they are NOT together

📝 Example 9: Combination with Conditions

A committee of 5 is to be chosen from 7 men and 6 women. How many committees contain at least 3 women?

1
Break into cases: “At least 3 women” means 3, 4, or 5 women
2
Case 1: 3 women, 2 men: \(C(6, 3) \times C(7, 2) = 20 \times 21 = 420\)
3
Case 2: 4 women, 1 man: \(C(6, 4) \times C(7, 1) = 15 \times 7 = 105\)
4
Case 3: 5 women, 0 men: \(C(6, 5) \times C(7, 0) = 6 \times 1 = 6\)
5
Add cases: \(420 + 105 + 6 = 531\) committees

Quiz: Test Your Understanding

Permutations and Combinations Quiz
Question 1: Calculate \(P(7, 3)\).
Answer:
\(P(7, 3) = \frac{7!}{(7-3)!} = \frac{7!}{4!} = 7 \times 6 \times 5 = 210\)
Question 2: Calculate \(C(9, 4)\).
Answer:
\(C(9, 4) = \frac{9!}{4!5!} = \frac{9 \times 8 \times 7 \times 6}{4 \times 3 \times 2 \times 1} = \frac{3024}{24} = 126\)
Alternative: \(C(9, 4) = C(9, 5) = \frac{9 \times 8 \times 7 \times 6 \times 5}{5 \times 4 \times 3 \times 2 \times 1} = 126\)
Question 3: How many different 5-letter arrangements can be made from the word “MATHS”?
Answer:
All letters are distinct, so: \(5! = 5 \times 4 \times 3 \times 2 \times 1 = 120\) arrangements
Question 4: A pizza place offers 8 toppings. How many different 3-topping pizzas can be made?
Answer:
Order of toppings doesn’t matter, so use combinations:
\(C(8, 3) = \frac{8 \times 7 \times 6}{3 \times 2 \times 1} = \frac{336}{6} = 56\) different pizzas
Question 5: How many ways can 4 boys and 3 girls be arranged in a row if the girls must sit together?
Answer:
Treat the 3 girls as a single unit. Now we have 5 units (girls unit + 4 boys)
Arrange 5 units: \(5! = 120\) ways
Arrange the 3 girls within their unit: \(3! = 6\) ways
Total: \(120 \times 6 = 720\) arrangements
Question 6: From a standard deck of 52 cards, how many different 5-card hands contain exactly 2 aces?
Answer:
Choose 2 aces from 4: \(C(4, 2) = 6\)
Choose 3 non-aces from 48: \(C(48, 3) = \frac{48 \times 47 \times 46}{3 \times 2 \times 1} = 17296\)
Total hands: \(6 \times 17296 = 103,776\)

🎯 Key Concepts Summary

  • Fundamental Counting Principle: Multiply number of ways for each independent choice
  • Factorial: \(n! = n \times (n-1) \times \cdots \times 2 \times 1\), with \(0! = 1\)
  • Permutations (order matters):
    • \(P(n, r) = \frac{n!}{(n-r)!}\)
    • Arrangements of all n objects: \(n!\)
    • With repetitions: \(\frac{n!}{n_1!n_2!\cdots}\)
    • Circular: \((n-1)!\)
  • Combinations (order doesn’t matter):
    • \(C(n, r) = \frac{n!}{r!(n-r)!}\)
    • Symmetry: \(C(n, r) = C(n, n-r)\)
    • Special values: \(C(n, 0) = 1\), \(C(n, 1) = n\), \(C(n, n) = 1\)
  • Key Question: Does order/position matter? → Yes: Permutations, No: Combinations
  • Common Problem Types:
    • Password/word arrangements (permutations)
    • Committee/team selection (combinations)
    • Seating arrangements (often permutations)
    • Lottery/probability problems (combinations)
    • Problems with restrictions: handle separately or use complement
  • CSEC Exam Strategy:
    • Read carefully: identify if order matters
    • For large calculations, cancel factorials before multiplying
    • Check if problem has restrictions (must/must not be together)
    • Show all working: write formula, substitute values, calculate step by step
    • Verify answer makes sense (e.g., combinations should be ≤ corresponding permutations)

CSEC Exam Strategy: Permutations and combinations questions often appear in Paper 2. Common mistakes: 1) Confusing permutations with combinations, 2) Forgetting to account for repeated items, 3) Misapplying restrictions, 4) Calculation errors with factorials. Always ask yourself: “Does order matter?” If you can swap two items and it’s the same outcome → combinations. If swapping gives a different outcome → permutations. Show clear working for full marks.

Real-World Applications

Lottery and gambling odds calculations
Password and security code possibilities
Committee and team selection processes
Tournament scheduling and pairings
Genetic combinations in biology
Quality control sampling in manufacturing
Cryptography and code breaking

Pro Tip: When calculating combinations like \(C(10, 3)\), remember it’s \(\frac{10 \times 9 \times 8}{3 \times 2 \times 1}\), not \(\frac{10 \times 9 \times 8}{3}\). The denominator is \(r!\), not just \(r\). This is a common calculation error!

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