STAT 430/510 Lecture 2: Permutations and Combinations, Study notes of Statistics

An introduction to the concepts of permutations and combinations in the context of probability theory. The basics of permutations and combinations, formulas for calculating the number of permutations and combinations, and examples of how to apply these concepts. The document also introduces the concept of multinomial coefficients and the multinomial theorem.

Typology: Study notes

Pre 2010

Uploaded on 03/28/2010

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STAT 430/510 Lecture 2
STAT 430/510 Probability
Hui Nie
Lecture 2
May 27th, 2009
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Download STAT 430/510 Lecture 2: Permutations and Combinations and more Study notes Statistics in PDF only on Docsity!

STAT 430/510 Probability

Hui Nie

Lecture 2

May 27th, 2009

Review

The basic principle of counting provides us a powerful tool for counting the number of ways that things can happen. An ordered sequence of k distinct objects taken from a set of n objects is called a permutation of size k. The total number of permutations of size k from n objects is given by Pk,n =

n! (n − k)!

Example

From a group of 5 women and 7 men, how many different committees consisting of 2 women and 3 men can be formed? Solution:

What if 2 of the men are feuding and refused to serve on the committee together? Solution:

Example

Consider a set of n antennas of which m are defective and n − m are functional and assume that all of the defectives and all of the functionals are considered indistinguishable. How many linear orderings are there in which no two defectives are consecutive?

Solution:

n − m + 1 m

The Binomial Theorem

The Binomial Theorem

(x + y)n^ =

∑^ n

r = 0

n r

xr^ yn−r

n r

is called binomial coefficients.

Example

Find the coefficient of x^2 y in (x + y)^3

Solution:

Example

A set of n distinct items is to be divided into r distinct groups of respective sizes∑ n 1 , n 2 , · · · , nr , where r i= 1 ni^ =^ n. How many different divisions are possible? Solution:( n n 1

) ( (^) n − n 1 n 2

) ( (^) n − n 1 − n 2 n 3

( (^) n − n 1 − n 2 − · · · − nr − 1 nr

= (^) n 1 !nn 2 !!···nr!

Multinomial Coefficients

If

∑r i= 1 ni^ =^ n, define

n n 1 , n 2 , · · · , nr

by

( n n 1 , n 2 , · · · , nr

n! n 1 !n 2! · · · nr! ( n n 1 , n 2 , · · · , nr

are known as multinomial coeffcients. ( n n 1 , n 2 , · · · , nr

represents the number of possible

divisions of n distinct objects into r distinct groups of respective sizes n 1 , n 2 ,..., nr.

Example

In order to play a game of basket ball, ten children at a plyground divided themselves into two teams of 5 each. How many different games are possible?

Solution:

  10 5 , 5

 

2! =^

10! 5! 5! 2! =^126

The Multinomial Theorem

The Multinomial Theorem

(x 1 + x 2 + · · · + xr )n^ =

(n 1 ,··· ,nr ):n 1 +···+nr =n

( (^) n n 1 , n 2 , · · · , nr

x 1 n 1 x 2 n 2 · · · x rnr

Example

Find the coefficient of x^6 yz in ( 3 x^2 + y + z)^5

Solution:

33 = 5!^3

3 3! 1! 1!