K distribution (discrete) – Casio FX-CG10 User Manual
Page 264
6-71
k Distribution (Discrete)
Distribution
Probability
Binomial Distribution
p
(x) =
n
C
x
p
x
(1–p)
n
– x
(x = 0, 1, ·······, n)
n
: number of trials
Poisson Distribution
(x = 0, 1, 2, ···)
p
(x) =
x!
e
–
λ
λ
×
x
λ : mean ( λ > 0)
Geometric Distribution
p
(x)
= p(1– p)
x
– 1
(x = 1, 2, 3, ···)
Hypergeometric
Distribution
p
(x) =
M
C
x
×
N
– M
C
n
– x
N
C
n
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
=
Σ
p
(
x
)
x=Lower
Upper
p
H
Σ
p
(
x
)
x=0
X
Poisson Distribution
Geometric Distribution
p
=
Σ
p
(
x
)
x=Lower
Upper
p
H
Σ
p
(
x
)
x=1
X
Hypergeometric
Distribution
p
=
Σ
p
(
x
)
x=Lower
Upper
p
H
Σ
p
(
x
)
x=0
X