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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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Nate Strawn
http://www.math.umd.edu/∼nstrawn/
(^1) Definition of Conditional Probability
(^2) Definition of Independence
or P(AB) = P(A)P(B)
How many ways can we choose two people from a group of five?
This can become a very tedious exercsise!
Definition The number of possible choices of r objects from a group of N distinct objects is
r
and is read “N choose r.” We have that ( N r
r !(N − r )!
Formula ( N r
N × (N − 1) × · · · × (N − r + 1) r × (r − 1) × · · · × 2 × 1
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 − r
4.83 Evaluate: (a)
( 6 3
)
(b)
( 10 3
)
(c)
( 22 2
)
(d)
( 22 20
)
(e)
( 30 3
)
(f)
( 30 27
)
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?
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.