Probability with Counting
When there are too many outcomes to list, you can still find probabilities: just count them instead. Permutations and combinations let you count both the outcomes you want and all the possible outcomes, and dividing gives the probability. This is how you find the chance of a particular poker hand or a lucky committee draw.
Key ideas
Section titled “Key ideas”The basic formula, with counting
Section titled “The basic formula, with counting”When all outcomes are equally likely (from sample spaces):
Now and are found with the counting principles, permutations, or combinations, instead of a list.
Count the top and bottom the same way
Section titled “Count the top and bottom the same way”Decide once whether order matters, and use the same method for the numerator and the denominator. If you count the total with combinations, count the favourable outcomes with combinations too. (Using permutations for both also works, as long as you’re consistent, because the cancels.)
A standard deck of cards
Section titled “A standard deck of cards”A standard deck has cards: suits (hearts and diamonds are red; clubs and spades are black), each with ranks (A, 2 to 10, J, Q, K). There are cards of each rank and face cards (J, Q, K). A -card hand is a combination, so the number of possible hands is
“At least one”: use the complement
Section titled ““At least one”: use the complement”The complement of “at least one” is “none”. Since :
“None” is usually a single count, while “at least one” would need many cases.
Worked examples
Section titled “Worked examples”Example 1: A random committee
Section titled “Example 1: A random committee”A committee of is chosen at random from boys and girls. Find the probability that it has exactly girls.
Solution. Order doesn’t matter, so use combinations. Total committees: .
Favourable committees: of the girls and of the boys:
Example 2: Card hands
Section titled “Example 2: Card hands”A -card hand is dealt from a well-shuffled standard deck. Find the probability that
- (a) all five cards are hearts
- (b) the hand has exactly aces
Solution. The total is in both parts.
(a) Choose of the hearts: .
(b) Choose of the aces and of the non-aces:
Example 3: Random arrangements
Section titled “Example 3: Random arrangements”The letters of SQUARE are arranged at random. Find the probability that
- (a) the arrangement begins with a vowel
- (b) Q and U are next to each other
Solution. SQUARE has different letters, so there are equally likely arrangements.
(a) There are vowels (U, A, E) for the first spot, then ways to arrange the rest:
(b) Treat QU as a block: arrangements, times orders inside the block:
Example 4: At least one ace
Section titled “Example 4: At least one ace”A -card hand is dealt. Find the probability that it contains at least one ace.
Solution. Use the complement. “No aces” means all cards come from the non-aces:
Common mistakes
Section titled “Common mistakes”Counting the top and bottom in different ways. Using for the total but for the favourable outcomes gives a wrong answer. Pick one approach and stick with it.
Forgetting the “other” items. For “exactly aces in cards”, you also have to choose the other cards from the non-aces. Choosing them from all remaining cards would allow more aces.
Doing “at least one” the long way, or the wrong way. Use . Don’t multiply “one ace” by “any other cards”: that counts hands with two or more aces several times.
Rounding too early. Keep exact counts or fractions until the last step. Card probabilities are often tiny, so round to at least three significant digits.
A probability greater than . If is bigger than , you’ve counted the favourable outcomes in a way that allows repeats or order when the total doesn’t.
Practice
Section titled “Practice”1. (Warm-up) Three students from a class of are chosen at random to win prizes (all the same). Kai is in the class. What is the probability that Kai wins?
Solution
Total: . With Kai included, choose the other from : .
(This makes sense: of the students win.)
2. (Warm-up) Four cards labelled A, B, C, D are shuffled and laid in a row. What is the probability they’re in the order ABCD?
Solution
There are equally likely orders, and only one is ABCD: .
3. (Warm-up) Two cards are dealt from a standard deck. Find the probability that both are hearts.
Solution
4. (Core) A -card hand is dealt. Find the probability that all five cards are face cards (J, Q, or K).
Solution
There are face cards:
5. (Core) A committee of is chosen at random from teachers and students. Find the probability that it includes at least one teacher.
Solution
The complement is “no teachers”, meaning students:
6. (Core) Seven people, including Zoe and Ali, line up in a random order. Find the probability that Zoe and Ali are next to each other.
Solution
Total: . Together: treat Zoe and Ali as a block, giving .
7. (Core) A -digit code is made of different digits, chosen at random. Find the probability that all four digits are even.
Solution
Order matters for a code. Total: . All even: arrange of the even digits (): .
(Using combinations for both gives the same answer: .)
8. (Challenge) A full house is a -card hand with three cards of one rank and two of another (like three 8s and two kings). Find the probability of being dealt a full house.
Solution
Build the hand in stages and multiply:
- the rank for the three: ways; which of its suits: ways
- the rank for the pair (a different rank): ways; which of its suits: ways
9. (Challenge) Five friends each pick a whole number from to at random. Find the probability that at least two of them pick the same number.
Solution
Order matters here (it matters who picked which number). Total: equally likely ways. The complement is “all different”: .
That’s almost , much higher than most people guess!