Permutations, Combinations & Probability Tutorial | EverExams.com

Permutations, Combinations & Probability

What is Counting Principle?

The fundamental principle of counting states that if one event can occur in p ways and another independent event can occur in q ways, then both events together can occur in p × q ways.

Example: If you have 3 shirts and 4 pants, you can make 3 × 4 = 12 different outfits.

Quick Tip

For sequential choices, multiply the number of options at each step. For alternative choices (either/or), add the number of options.

Key Concepts

Permutation: Arrangement of objects where ORDER matters.

P(n, r) = n!/(n-r)!

Combination: Selection of objects where order does NOT matter.

C(n, r) = n!/[r!(n-r)!]

Probability: Numerical measure of the likelihood that an event will occur.

P(E) = Number of favorable outcomes / Total number of outcomes
Memory Aid

Remember: Permutations = Positions matter, Combinations = Committees don’t care about order!

Factorial Notation

Definition & Properties

For a positive integer n, the factorial of n (denoted as n!) is the product of all positive integers less than or equal to n.

n! = n × (n-1) × (n-2) × … × 3 × 2 × 1

Example: 5! = 5 × 4 × 3 × 2 × 1 = 120

Important Properties:

  • 0! = 1 (by definition)
  • 1! = 1
  • n! = n × (n-1)!
  • Factorial is defined only for whole numbers (non-negative integers)
  • Factorial notation was introduced by Christian Kramp (1760-1826)
Quick Calculation

When simplifying factorial expressions, expand until you have common factors that can be canceled.

Example: 8!/6! = (8×7×6!)/6! = 8×7 = 56

Working with Factorials

Simplifying factorial expressions:

n!/(n-r)! = n × (n-1) × (n-2) × … × (n-r+1)

Example 1: 7!/5! = (7×6×5!)/5! = 7×6 = 42

Example 2: 10!/(3! × 7!) = C(10, 3) = 120

Important identities:

(n+1)! = (n+1) × n!
n!/(n-1)! = n
(2n)!/(2^n × n!) = 1 × 3 × 5 × … × (2n-1)
Memory Trick

Remember: 0! = 1 (not 0!). This is a convention that makes many formulas work correctly.

Permutations

Definition & Formula

A permutation is an arrangement of objects in a specific order. The number of permutations of n distinct objects taken r at a time is:

P(n, r) = n!/(n-r)! where 0 ≤ r ≤ n

Example: Number of ways to arrange 3 books from a set of 5 on a shelf:

P(5, 3) = 5!/(5-3)! = 5!/2! = 120/2 = 60 ways

Special Cases:

  • P(n, n) = n! (arranging all n objects)
  • P(n, 1) = n (selecting 1 object from n)
  • P(n, 0) = 1 (arranging 0 objects)
Quick Check

If the problem mentions “arrangements”, “order”, “positions”, or “sequences”, it’s likely a permutation problem.

Types of Permutations

1. Permutations with Repeated Objects:

If there are n objects with n₁ alike of one kind, n₂ alike of second kind, …, nₖ alike of kth kind, then:

Number of permutations = n!/(n₁! × n₂! × … × nₖ!)

Example: Arrangements of “WAPDA”:

Total letters = 5, A appears twice

Number of arrangements = 5!/2! = 120/2 = 60

2. Circular Permutations:

Number of ways to arrange n distinct objects in a circle:

(n-1)!

3. Necklace/Keyring Permutations:

For arrangements that can be flipped (like necklaces):

(n-1)!/2
Memory Trick

For circular arrangements: “Take one seat to fix position, then arrange the rest.” That’s why it’s (n-1)! instead of n!.

Combinations

Definition & Formula

A combination is a selection of objects where order does NOT matter. The number of combinations of n distinct objects taken r at a time is:

C(n, r) = n!/[r!(n-r)!] where 0 ≤ r ≤ n

Example: Number of ways to choose 3 students from a class of 10 for a committee:

C(10, 3) = 10!/(3! × 7!) = 120 ways

Also denoted as: ⁿCᵣ, C(n, r), or binomial coefficient (n choose r)

Quick Check

If the problem mentions “committees”, “teams”, “selections”, “groups”, or “combinations”, it’s likely a combination problem.

Properties of Combinations

Key Properties:

  • C(n, r) = C(n, n-r) (Complementary combination)
  • C(n, 0) = C(n, n) = 1
  • C(n, 1) = C(n, n-1) = n
  • C(n, r) = C(n-1, r) + C(n-1, r-1) (Pascal’s Rule)
  • If C(n, r) = C(n, s), then either r = s or r + s = n

Restricted Combinations:

  • With k particular objects always included: C(n-k, r-k)
  • With k particular objects always excluded: C(n-k, r)

Geometry Applications:

  • Number of diagonals in n-sided polygon: n(n-3)/2
  • Number of triangles from n points (no 3 collinear): C(n, 3)
  • Number of quadrilaterals from n points: C(n, 4)
Memory Trick

Pascal’s Triangle shows combination values: Each entry is the sum of the two above it.

Probability

Basic Concepts

Probability is a numerical measure of the chance that a particular event will occur.

Key Terms:

  • Experiment: An operation with well-defined outcomes
  • Random Experiment: Outcome cannot be predicted with certainty
  • Sample Space (S): Set of all possible outcomes
  • Event (E): Subset of sample space
  • Probability of Event E: P(E) = n(E)/n(S)

Example: Tossing a fair coin

Sample space S = {H, T}

Event E = getting head = {H}

P(E) = 1/2 = 0.5

Quick Tip

Probability always lies between 0 and 1 inclusive: 0 ≤ P(E) ≤ 1

P(impossible event) = 0, P(certain event) = 1

Types of Events & Rules

Types of Events:

  • Simple Event: Single outcome
  • Equally Likely Events: Each has same chance of occurring
  • Mutually Exclusive Events: Cannot occur together (A∩B = ∅)
  • Independent Events: Occurrence of one doesn’t affect the other
  • Complementary Events: E and E’ where E’ = S – E

Probability Rules:

Addition Rule: P(A∪B) = P(A) + P(B) – P(A∩B)
For mutually exclusive events: P(A∪B) = P(A) + P(B)
Multiplication Rule: P(A∩B) = P(A) × P(B|A)
For independent events: P(A∩B) = P(A) × P(B)
Complementary: P(E’) = 1 – P(E)
Memory Aid

For mutually exclusive events, use ADDITION. For independent events, use MULTIPLICATION.

Practice Quiz

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Quiz Results

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Study Guidelines

How to Master Permutations, Combinations & Probability

  1. Understand the difference: Clearly distinguish between permutations (order matters) and combinations (order doesn’t matter).
  2. Master factorial calculations: Practice simplifying factorial expressions and using factorial properties.
  3. Memorize key formulas: Know P(n,r), C(n,r), probability formulas, and when to use each.
  4. Solve word problems: Practice translating real-world scenarios into permutation/combination problems.
  5. Work with restrictions: Practice problems with conditions like “always included” or “never together”.
  6. Understand probability concepts: Clearly distinguish between mutually exclusive and independent events.
  7. Draw diagrams: Use tree diagrams, Venn diagrams, or slot methods to visualize counting problems.
  8. Practice with playing cards and dice: These are common probability scenarios in exams.
  9. Check your answers: Verify if your answer makes sense logically (e.g., probability should be between 0 and 1).
  10. Time yourself: Practice solving problems under time constraints to build speed.

Common Mistakes to Avoid

  • Using permutations when combinations are needed (or vice versa)
  • Forgetting that 0! = 1 (not 0)
  • Not accounting for repeated objects in permutations
  • Confusing circular permutations with linear permutations
  • Treating mutually exclusive events as independent (or vice versa)
  • Forgetting to subtract intersection in P(A∪B) when events are not mutually exclusive
  • Not simplifying factorial expressions before calculating
  • Overcounting or undercounting in complex arrangement problems

Exam Tips

  • Read carefully: Look for keywords like “arranged” (permutation) vs. “selected” (combination).
  • Identify restrictions: Note any conditions like “always together” or “never together”.
  • Draw when possible: Visual representations help avoid counting errors.
  • Check extremes: Verify your formula works for r=0, r=1, r=n cases.
  • Use complementary approach: Sometimes it’s easier to count what you don’t want.
  • Estimate: Get a rough idea of the answer magnitude to catch calculation errors.
  • Show your work: Even with wrong final answer, you may get partial credit for correct method.