STAT 100 Lecture 7: Random Samples and Combinations, Study notes of Probability and Statistics

A lecture note from stat 100 at the university of maryland, covering the concepts of random samples, combinations, and counting. It includes explanations of conditional probability, independence, and the rule of combinations, as well as examples and formulas for calculating the number of combinations. The document also introduces the concept of a random sample and provides examples for calculating the probability of selecting a specific number of objects from a larger set.

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Pre 2010

Uploaded on 02/13/2009

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STAT 100 Lecture 7:
Random Samples
Nate Strawn
http://www.math.umd.edu/nstrawn/
Nate Strawn STAT 100 Lecture 7: Random Samples
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Download STAT 100 Lecture 7: Random Samples and Combinations and more Study notes Probability and Statistics in PDF only on Docsity!

STAT 100 Lecture 7:

Random Samples

Nate Strawn

http://www.math.umd.edu/∼nstrawn/

Last Time...

(^1) Definition of Conditional Probability

P(A|B) =

P(AB)

P(B)

(^2) Definition of Independence

P(A|B) = P(A)

or P(AB) = P(A)P(B)

How Do We Count Combinations?

How many ways can we choose two people from a group of five?

How Do We Count Combinations?

This can become a very tedious exercsise!

Another Way to Count

number of pairs in a set of 5 =

The Rule of Combinations

Definition The number of possible choices of r objects from a group of N distinct objects is

(N

r

and is read “N choose r.” We have that ( N r

N!

r !(N − r )!

Formula ( N r

N × (N − 1) × · · · × (N − r + 1) r × (r − 1) × · · · × 2 × 1

A Useful Identity

When we choose r objects from a set of N objects, we have implicitly chosen a collection of N − r objects as well. These are the objects that we did not “choose.” So, every choice of r objects corresponds to a choice of N − r objects.

Proposition ( N r

N

N − r

Combinations Example

4.83 Evaluate: (a)

( 6 3

)

(b)

( 10 3

)

(c)

( 22 2

)

(d)

( 22 20

)

(e)

( 30 3

)

(f)

( 30 27

)

Another Example

4.85 Of 10 available candidate for membership in a university committee, 6 are men and 4 are women. The committee is to consist of 4 persons. (a) How many different selections of the committee are possible? (b) How many selections are possible if the committee must have 2 men and 2 women? (c) If the selection of the committe is random, what is the probability that the committee consists of exactly 2 men and 2 women?

For Next Time

MINITAB Project 01 Due Today at 4pm!

Read Section 5.1, 5.2, and 5.3 from Johnson and Bhattacharyya

Group Problems:

Group 1 2 3 4 5 Problem 4.84 4.101 5.1 5.3 5. Group 6 7 8 9 10 Problem 4.84 4.101 5.1 5.3 5.