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Ch2: Combinatorial Probability

Key concepts

Definitions

  • Permutation: arrangement in some order
  • Ordered versus unordered samples: In ordered samples, the order of the elements in the sample matters; e.g., digits in a phone number, or the letters in a word. In unordered samples the order of the elements is irrelevant; e.g., elements in a subset, or lottery numbers.
  • Samples with replacement versus samples without replacement: In the first case, repetition of the same element is allowed (e.g., numbers in a license plate); in the second, repetition not allowed (as in a lottery drawing—once a number has been drawn, it cannot be drawn again).

Formula's

  • Number of permutations of n objects: n!
  • Number of ordered samples of size r, with replacement, from n objects: nr
  • Number of ordered samples of size r, without replacement, from n objects:n(n1)(nr+1)=n!(nr)!=nPr
  • Number of unordered samples of size r, without replacement, from a set of n objects (= number of subsets of size r from a set of n elements) (combinations):(nx)=nPrr!=n!r!(nr)!=n(n1)(nr+1)r!
  • Number of subsets of a set of n elements: 2n

Binomial coefficients

Definition

For n = 1, 2, . . . and k = 0, 1, . . . , n,

(nx)=n!k!(nk)!=n(n1)(nk+1)k!

Combinatorial Interpretations

(nk) represents:

  1. the number of ways to select k objects out of n given objects (in the sense of unordered samples without replacement);
  2. the number of k-element subsets of an n-element set;
  3. the number of n-letter HT sequences with exactly k H’s and n − k T’s.

Rules and properties

The product rule

If an experiment consists of performing k partial experiments and the ith partial experiment has ni possible outcomes (i=1,k), no matter what the results of the partial experiments are, then n1×n2××nk outcomes of the total experiment are possible.

The permutation rule

The number of orders or permutations (variations) in which k different things can be arranged is k!

Properties

When A1,A2,,Ak are mutually exclusive events, then:

N(i=1kAi)=i=1kN(Ai)

Hypergeometric formula

If we draw n times, at random and without replacement, from a set of N balls, consisting of R red and N - R white balls, the probability of event Ak, that we draw k red (and n - k white) balls, is given by:

P(Ak)=(Rk)(NRnk)(Nn)