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 for factorial-based counting, where .
- 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
| Concept | Formula / Rule |
|---|---|
| Permutation | |
| Combination | |
| Probability | |
| Complement rule |
How To Approach Questions
- Decide whether arrangement order matters.
- Count the total outcomes first, then the favourable outcomes.
- If there is a forbidden position or repeated object, handle that restriction explicitly.
- Watch for replacement or no-replacement conditions.
Worked Examples
Example 1
Prompt: How many ways can people be arranged in a row?
Approach: The arrangement count is .
Example 2
Prompt: How many ways can books be chosen from books?
Approach: Since order does not matter, use .
Example 3
Prompt: How many different -digit numbers can be formed using the digits without repetition?
Approach: This is an arrangement of places from distinct digits, so the count is .
Example 4
Prompt: Two fair dice are thrown. What is the probability that the sum is ?
Approach: Favourable outcomes are , so probability .
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.