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Distribution
Inverse Cumulative Distribution
Normal
Distribution
p = p(x)dx
Upper
–
p = p(x)dx
Lower
p = p(x)dx
Upper
Lower
tail = Left tail = Right tail = Central
Student-
t
Distribution
p = p(x)dx
Lower
C
2
Distribution
F Distribution
I Distribution (Discrete)
Distribution Probability
Binomial Distribution
p(x) = nCxp
x
(1–p)
n – x
(x = 0, 1, ·······, n)
n: number of trials
Poisson Distribution
(x = 0, 1, 2, ···)
p(x) =
x!
e
–
μ
μ
×
x
M
: mean (
M
0)
Geometric Distribution
p
(x)= p(1– p)
x –1
(x = 1, 2, 3, ···)
Hypergeometric
Distribution
p(x) =
MCx × N – MCn – x
N
Cn
n: Number of elements extracted from population (0 x integer)
M: Number of elements contained in attribute A (0 M integer)
N: Number of population elements (n N, M N integer)
Distribution
Cumulative Distribution
Inverse Cumulative Distribution
Binomial Distribution
p
=
p(x)
x=0
X
p H
p(x)
x=0
X
Poisson Distribution
Geometric Distribution
p
=
p(x)
x=1
X
p H
p(x)
x=1
X
Hypergeometric
Distribution
p
=
p(x)
x=0
X
p H
p(x)
x=0
X