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Unformatted text preview: r , r + 1, r + 2, . . .
µ = E (X ) = p
σ 2 = Var(X ) = Math 30530 (Fall 2012) rq
p2 Discrete Random Variables October 7, 2012 5 / 10 The Discrete Uniform random variable
Name: D.Uniform(N )
When to use: When you are assigning values 1 through N to N
equally likely outcomes
N : the number of outcomes Mass function:
pX (x ) = 1
N 0 if x = 1, 2, 3, . . . , N
µ = E (X ) = N + 1
σ 2 = Var(X ) = N 12 1 Math 30530 (Fall 2012) Discrete Random Variables October 7, 2012 6 / 10 The Hypergeometric random variable
Name: Hypergeometric(M , N , n)
When to use: When you are selecting a ﬁxed number of items
from a ﬁxed size pool, containing a ﬁxed number of desirable
objects, without replacement and with order not mattering, and
you are counting how many of the selected objects are desirable
M : the number of desirable objects in the pool
N : the total number of objects in the pool
n: the number you are selecting (...
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This document was uploaded on 03/13/2014 for the course ECON 205 at American University of Beirut.
- Spring '11