Counting Principles and Combinatorics

1. The Fundamental Counting Principle

Learning outcomes
  • I can apply the Fundamental Counting Principle.
  • I can solve multi-stage counting problems.
  • I can represent counting problems systematically.
  • I can distinguish between different counting methods.
  • I can solve practical counting problems.

The Fundamental Counting Principle

Introduction to the Fundamental Counting Principle

Many everyday situations involve making several choices. You might choose an outfit, create a password, order a meal, or plan a journey using different transportation options.

Rather than listing every possible combination, mathematics provides a faster and more systematic way to count the outcomes.

The Fundamental Counting Principle, also called the Multiplication Principle, states:

If one stage of a process can be completed in m ways and a second stage can be completed in n ways for each first-stage choice, then the complete process can be completed in m × n ways.

For example, suppose a restaurant offers:

  • 3 main courses

  • 4 drinks

If you choose one main course and one drink, the total number of possible combinations is:

3 × 4 = 12 combinations

The principle can be extended to any number of stages.

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Understanding the Multiplication Principle

The Fundamental Counting Principle is based on the idea that each choice can be paired with other available choices.

Suppose a student has:

  • 2 shirts: red and blue

  • 3 pairs of trousers: black, grey, and beige

The student can create the following outfits:

Shirt

Trousers

Red

Black

Red

Grey

Red

Beige

Blue

Black

Blue

Grey

Blue

Beige

There are 6 possible outfits.

Using the Fundamental Counting Principle:

2 × 3 = 6

This is much faster than listing every combination, especially when there are many choices.

General Formula

If a process has k stages, with n₁, n₂, n₃, ..., nₖ choices at each stage, then:

Total outcomes = n₁ × n₂ × n₃ × ... × nₖ

This formula applies when the number of choices at each stage is known and consistent for every preceding choice.

If the available choices depend on earlier decisions, the problem may need to be divided into cases.

Multi-Stage Counting Problems

Many counting problems involve more than two stages.

For example, suppose a café offers:

  • 4 sandwiches

  • 3 drinks

  • 2 desserts

A customer chooses one item from each category.

The number of possible meals is:

4 × 3 × 2 = 24

There are 24 different meal combinations.

Worked Example: Choosing an Outfit

A student has:

  • 5 shirts

  • 4 pairs of trousers

  • 3 pairs of shoes

How many different outfits can the student create?

Step 1: Identify the stages.

Shirt → Trousers → Shoes

Step 2: Identify the number of choices.

5, 4, and 3

Step 3: Multiply.

5 × 4 × 3 = 60

Final answer: 60 different outfits.

Worked Example: Planning a Journey

A traveler can choose between:

  • 3 airlines

  • 4 hotels

  • 2 transportation options from the airport

How many travel arrangements are possible?

3 × 4 × 2 = 24

Final answer: 24 possible arrangements, assuming every combination is available.

Representing Counting Problems with Tree Diagrams

A tree diagram is a visual method for organizing multi-stage choices.

Each branch represents a possible decision.

For example, suppose a student chooses:

  • One of 2 drinks: water or juice

  • One of 3 snacks: apple, banana, or biscuit

A tree diagram can show all possible combinations.

The possible outcomes are:

  • Water and apple

  • Water and banana

  • Water and biscuit

  • Juice and apple

  • Juice and banana

  • Juice and biscuit

The tree has 6 final branches.

Using the Fundamental Counting Principle:

2 × 3 = 6

When Are Tree Diagrams Useful?

Tree diagrams are particularly useful when:

  • There are relatively few choices.

  • The problem involves several stages.

  • Students need to visualize the decision process.

  • Choices depend on previous selections.

  • The problem involves probability.

For very large counting problems, multiplication is usually more efficient.

Representing Counting Problems with Tables

Tables provide another systematic way to organize outcomes.

Suppose a coin is flipped and a six-sided die is rolled.

The coin has 2 possible outcomes:

H, T

The die has 6 possible outcomes:

1, 2, 3, 4, 5, 6

Coin

Die

Possible outcomes

H

1–6

H1, H2, H3, H4, H5, H6

T

1–6

T1, T2, T3, T4, T5, T6

Total outcomes:

2 × 6 = 12

A table is useful because it helps ensure that no outcomes are missed or counted more than once.

Counting with Repetition Allowed

In some counting problems, an item may be selected more than once.

For example, consider a four-digit PIN code.

Each digit can be any number from 0 to 9.

If repetition is allowed, each position has 10 choices.

The total number of possible PINs is:

10 × 10 × 10 × 10

= 10⁴

= 10,000

Final answer: 10,000 possible PIN codes.

This includes codes such as 0000, 1111, and 2020.

Worked Example: Repeated Letters

A code consists of three letters selected from A, B, C, D, and E.

Letters may be repeated.

Each position has 5 choices.

Total outcomes:

5 × 5 × 5 = 125

Final answer: 125 different codes.

Counting Without Repetition

Some counting problems do not allow the same item to be selected more than once.

For example, suppose a code consists of three different digits selected from 0 to 9.

The first digit has 10 choices.

The second digit has 9 choices because one digit has already been used.

The third digit has 8 choices.

Total outcomes:

10 × 9 × 8 = 720

Final answer: 720 possible codes.

Worked Example: Arranging Books

Five different books are placed on a shelf.

How many different arrangements are possible?

For the first position, there are 5 choices.

For the second position, there are 4 remaining choices.

For the third position, there are 3 choices.

For the fourth position, there are 2 choices.

For the final position, there is 1 choice.

Total arrangements:

5 × 4 × 3 × 2 × 1 = 120

Final answer: 120 arrangements.

This introduces the concept of factorials.

Factorials and Counting

A factorial represents the product of all positive integers from 1 to a given positive integer.

Factorials are written using an exclamation mark.

For example:

5! = 5 × 4 × 3 × 2 × 1 = 120

4! = 4 × 3 × 2 × 1 = 24

3! = 3 × 2 × 1 = 6

By definition:

0! = 1

Factorials are useful when arranging distinct objects without repetition.

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The Addition Principle

Not every counting problem requires multiplication.

Sometimes we must choose between separate alternatives.

The Addition Principle states that if one option can occur in m ways and another mutually exclusive option can occur in n ways, then there are:

m + n total possibilities

For example, a student may choose:

  • One of 4 science clubs

  • Or one of 3 sports clubs

If the student joins exactly one club, the total number of choices is:

4 + 3 = 7

Multiplication Versus Addition

The key difference is:

  • AND usually indicates multiplication.

  • OR usually indicates addition, provided the alternatives do not overlap.

Examples:

Choose a shirt AND trousers:

3 × 4 = 12

Choose a shirt OR a pair of trousers:

3 + 4 = 7

These keywords are helpful, but students must always consider the actual structure of the problem.

Combining Addition and Multiplication

Some counting problems require both principles.

Worked Example: Choosing a Meal

A restaurant offers two meal options.

Option A

  • 3 sandwiches

  • 2 drinks

Option B

  • 4 salads

  • 3 drinks

A customer chooses one complete meal from either Option A or Option B.

Step 1: Count Option A.

3 × 2 = 6

Step 2: Count Option B.

4 × 3 = 12

Step 3: Add the alternatives.

6 + 12 = 18

Final answer: 18 possible meals.

This illustrates how counting problems can be divided into separate cases.

Distinguishing Different Counting Methods

There are several important methods for solving counting problems.

Method

When to use it

Example

Listing

Very few outcomes

Two coin flips

Tree diagram

Small multi-stage processes

Choosing a drink and snack

Table

Organizing paired outcomes

Coin and die

Multiplication Principle

Sequential stages

Outfits and codes

Addition Principle

Mutually exclusive alternatives

Choosing one club

Factorials

Arranging all distinct objects

Arranging books

Permutations

Selecting and arranging objects

Awarding first, second, third

Combinations

Selecting objects when order does not matter

Choosing committee members

The Fundamental Counting Principle forms the foundation for several of these methods.

Permutations and the Fundamental Counting Principle

A permutation is an arrangement in which order matters.

For example, suppose 6 students compete for three awards:

  • First place

  • Second place

  • Third place

The number of possible outcomes is:

6 × 5 × 4 = 120

The order matters because receiving first place is different from receiving third place.

The permutation formula is:

P(n, r) = n!/(n − r)!

where:

  • n is the number of available objects.

  • r is the number selected and arranged.

For this example:

P(6, 3) = 6!/3!

= 120

Combinations and the Fundamental Counting Principle

A combination is a selection in which order does not matter.

Suppose 6 students are available and 3 must be chosen for a committee.

Choosing students A, B, and C is the same committee as choosing C, A, and B.

The number of combinations is:

C(n, r) = n!/[r!(n − r)!]

For this example:

C(6, 3) = 6!/(3! × 3!)

= 20

There are 20 different committees.

Why Permutations and Combinations Differ

Permutations count arrangements.

Combinations count groups.

For example:

ABC, ACB, BAC, BCA, CAB, CBA

are six different permutations of the same three objects.

However, they represent only one combination.

Practical Applications of the Fundamental Counting Principle

Passwords and Security

The Fundamental Counting Principle helps calculate the number of possible passwords.

Suppose a password contains:

  • 2 letters

  • Followed by 3 digits

Assume letters and digits may repeat.

Each letter has 26 choices.

Each digit has 10 choices.

Total passwords:

26 × 26 × 10 × 10 × 10

= 676,000

Final answer: 676,000 possible passwords.

If uppercase and lowercase letters are treated as different characters, the number of possibilities increases substantially.

Password and username for access data of laptop, security to login with otp and digit code, send from system service to mobile phone
 
 
 

Vehicle Registration Numbers

Suppose a vehicle registration number contains:

  • 3 letters

  • Followed by 4 digits

If repetition is allowed:

26³ × 10⁴

= 175,760,000

There are 175,760,000 possible registration numbers under these rules.

Sports Competitions

Suppose 8 runners compete for gold, silver, and bronze medals.

The number of possible podium arrangements is:

8 × 7 × 6 = 336

There are 336 possible medal arrangements, assuming no ties.

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Product Customization

A company allows customers to design a backpack using:

  • 5 colours

  • 3 sizes

  • 4 patterns

  • 2 types of straps

The total number of possible designs is:

5 × 3 × 4 × 2 = 120

There are 120 possible backpack designs, assuming all combinations are available.

Solving More Challenging Counting Problems

Some counting problems involve restrictions that change the number of choices.

Worked Example: Four-Digit Numbers

How many four-digit numbers can be formed using the digits 0–9 if repetition is allowed?

A four-digit number cannot begin with zero.

Therefore:

  • First digit: 9 choices (1–9)

  • Second digit: 10 choices

  • Third digit: 10 choices

  • Fourth digit: 10 choices

Total:

9 × 10 × 10 × 10

= 9,000

Final answer: 9,000 four-digit numbers.

Worked Example: Without Repetition

How many four-digit numbers can be formed using the digits 0–9 if no digit may be repeated?

First digit: 9 choices.

Second digit: 9 choices (zero is available, but the first digit cannot be reused).

Third digit: 8 choices.

Fourth digit: 7 choices.

Total:

9 × 9 × 8 × 7

= 4,536

Final answer: 4,536 numbers.

Worked Example: Counting with a Restriction

A three-digit code uses digits 0–9.

Repetition is allowed, but the final digit must be even.

How many codes are possible?

First digit: 10 choices.

Second digit: 10 choices.

Final digit: 5 choices (0, 2, 4, 6, 8).

Total:

10 × 10 × 5 = 500

Final answer: 500 possible codes.

A Systematic Strategy for Counting Problems

When solving a counting problem, use the following approach.

Identify the stages

Determine how many separate decisions must be made.

Determine the number of choices

Count the available options at each stage.

Check restrictions

Ask whether repetition is allowed and whether previous choices affect later choices.

Decide whether order matters

This helps distinguish permutations from combinations.

Choose the correct operation

Use multiplication for sequential stages and addition for separate, mutually exclusive alternatives.

Calculate and check

Make sure the answer is reasonable and that no outcomes have been counted twice or omitted.

Common Mistakes

Adding instead of multiplying

When a complete outcome requires several choices, multiplication is often appropriate.

Multiplying when alternatives should be added

When selecting one option from separate categories, addition may be required.

Ignoring repetition restrictions

If repetition is not allowed, the number of available choices usually decreases after each selection.

Forgetting that zero cannot begin a multi-digit number

A code may begin with zero, but an ordinary four-digit number cannot.

Confusing permutations and combinations

Permutations involve arrangements where order matters.

Combinations involve selections where order does not matter.

Counting the same outcome more than once

This is particularly common when using the Addition Principle with overlapping categories.

Assuming every stage has the same number of choices

Some stages have restrictions that change the number of possibilities.

Failing to identify all stages

Leaving out a stage produces an incorrect total.

Using a formula without understanding the situation

It is better to identify the counting structure before selecting a formula.

Key Terms

  • Fundamental Counting Principle: A rule stating that the total number of outcomes in a multi-stage process is found by multiplying the number of choices at each stage, when those counts apply consistently.

  • Multiplication Principle: Another name for the Fundamental Counting Principle.

  • Counting problem: A mathematical problem involving the number of possible outcomes or arrangements.

  • Outcome: One possible result of a process.

  • Stage: A separate decision or step within a counting process.

  • Choice: An available option at a particular stage.

  • Tree diagram: A branching diagram used to organize possible outcomes.

  • Systematic listing: A method of recording all possible outcomes in an organized way.

  • Addition Principle: A rule used to count outcomes from mutually exclusive alternatives.

  • Mutually exclusive: Describes outcomes or categories that cannot occur together.

  • Repetition: The reuse of an item or option in a counting process.

  • Restriction: A condition limiting the available choices.

  • Factorial: The product of all positive integers from 1 to a given positive integer.

  • Permutation: An arrangement of objects in which order matters.

  • Combination: A selection of objects in which order does not matter.

  • Arrangement: A particular ordering of selected objects.

  • Selection: The process of choosing objects from a set.

  • Sample space: The set of all possible outcomes of a random experiment.

  • Independent choices: Choices in which one selection does not affect the available options in another stage.

  • Dependent choices: Choices in which earlier selections affect later options.

Key Takeaways

  • The Fundamental Counting Principle is used to calculate the total number of outcomes in a multi-stage process.

  • When each stage has a fixed number of available choices, multiply the number of choices at each stage.

  • Multi-stage counting problems can be represented using tables, lists, and tree diagrams.

  • Tree diagrams are useful for visualizing smaller counting problems.

  • The Addition Principle is used when counting mutually exclusive alternatives.

  • The Multiplication Principle is used when combining sequential choices.

  • Counting problems may require both addition and multiplication.

  • Repetition rules can significantly change the number of possible outcomes.

  • When repetition is not allowed, the number of choices often decreases after each selection.

  • Factorials provide a compact way to represent products of consecutive positive integers.

  • Permutations count arrangements where order matters.

  • Combinations count selections where order does not matter.

  • Restrictions must be considered carefully before multiplying.

  • The Fundamental Counting Principle is useful in passwords, codes, sports, travel, product design, and probability.

  • A systematic approach helps prevent missed outcomes and double-counting.

Check Your Understanding

Recall and Understanding

  1. State the Fundamental Counting Principle in your own words.

  2. Explain the difference between the Addition Principle and the Multiplication Principle.

  3. What is a tree diagram, and when is it useful?

  4. Explain the difference between counting with repetition and counting without repetition.

  5. What is the difference between a permutation and a combination?

Application

  1. A student has 4 shirts, 3 pairs of trousers, and 2 pairs of shoes. How many different outfits can be created?

  2. A restaurant offers 5 main courses, 4 drinks, and 3 desserts. How many complete meals are possible?

  3. A code contains 3 digits from 0–9. How many codes are possible if repetition is allowed?

  4. How many different arrangements can be made using 6 distinct books?

  5. A coin is flipped and an eight-sided die is rolled. How many possible outcomes are there?

Analysis and Challenge

  1. How many four-digit numbers can be formed using digits 0–9 if no digit may be repeated?

  2. A password consists of 2 letters followed by 3 digits. How many passwords are possible if letters cannot repeat but digits may repeat?

  3. Eight students compete for first, second, and third place. How many possible podium arrangements are there?

  4. A student must choose either a science activity from 5 options or a sports activity from 4 options. Explain why addition is used rather than multiplication.

  5. A company creates identification codes containing 2 letters and 4 digits. The letters may repeat, but the digits must all be different. Calculate the number of possible codes.

Final Summary

The Fundamental Counting Principle provides a powerful method for solving problems involving several stages of choice.

By multiplying the number of possibilities at each stage, we can calculate large numbers of outcomes without listing every possibility individually.

Understanding when to use multiplication, addition, factorials, permutations, and combinations allows students to solve increasingly complicated counting problems.

These methods form an important foundation for probability, statistics, computer science, cryptography, and many practical decision-making situations.