Counting & Probability

Study Sheet

Counting & Probability

Systematic counting and complements

The Fundamental Principles

Tip
Multiply independent choices

If one choice has mm options and a second, independent choice has nn options, the pair has mnm\cdot n options. Overlapping or exclusive choices are handled by splitting into cases and adding.

In plain terms. When decisions don't affect each other, multiply the number of options. When they can't happen together, add.

Example. A menu with 33 mains and 44 drinks gives 34=123\cdot 4 = 12 meals.

Tip
Permutations vs. combinations

Ordered picks of kk from nn: nPk=n!(nk)!{}_nP_k = \dfrac{n!}{(n-k)!}. Unordered picks: (nk)=n!k!(nk)!\dbinom nk = \dfrac{n!}{k!(n-k)!}.

In plain terms. If rearranging counts as different, use permutations; if it does not, use combinations. The only difference is dividing out the k!k! orderings.

Example. Seat 33 of 88 in a row (order matters): 8P3=876=336{}_8P_3 = 8\cdot 7\cdot 6 = 336. Choose a committee of 33 (order doesn't): (83)=56\dbinom 83 = 56.

Complementary Counting and Probability

Tip
Count the opposite

For "at least one," compute (total) - (ways it fails). The complement usually avoids messy casework.

In plain terms. Counting what you don't want and subtracting is often far easier than counting what you do want.

Example. Probability of at least one head in 44 flips: the only failure is all tails, (12)4=116\left(\tfrac12\right)^4 = \tfrac1{16}, so the answer is 1116=15161 - \tfrac1{16} = \tfrac{15}{16}.

Concept
Probability is a ratio of counts

For equally likely outcomes, P(event)=favorabletotalP(\text{event}) = \dfrac{\text{favorable}}{\text{total}}.

In plain terms. Probability is just "good outcomes over all outcomes" — so counting carefully is the whole task.

Example. Rolling a sum of 77 with two dice: 66 favorable pairs out of 3636, so P=636=16P = \tfrac{6}{36} = \tfrac16.