I distribution (discrete) – Casio FX-9750GII User Manual
Page 195
6-55
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) =
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
–
μ
μ
×
x
M: mean ( M 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
=
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