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k Distribution (continue)
Distribution
Distribution
normale
t
Distribution
de Student
Distribution χ
2
F
Distribution
Distribution
Distribution
normale
t
Distribution
de Student
Distribution χ
2
F
Distribution
Densité d'une probabilité
(x – μ)
2
μ
1
–
p(x) =
2
e
σ
2
πσ
2
df + 1
Γ
1 +
2
×
p(x) =
π
df
Γ
2
df
1
1
2
×
× x
p(x) =
2
df
Γ
2
ndf + ddf
Γ
2
p(x) =
ndf
ddf
Γ
× Γ
2
2
Distribution cumulative inverse
∫
Upper
p =
p
x
dx
(
)
–∞
tail = Left
σ
( > 0)
df+
1
–
2
2
x
df
× df
df
x
–1
–
× e
2
2
(x
0)
ndf
ndf
–1
ndf × x
ndf
2
2
x
1 +
ddf
ddf
∞
∫
p =
p
x
(
Lower
tail = Right
∞
∫
p =
p
x
(
)
Lower
6-71
Distribution cumulative
∫
Upper
p =
Lower
ndf + ddf
–
2
(x
0)
∫
Upper
p =
dx
)
Lower
tail = Central
dx
p
x
dx
(
)
p
x
dx
(
)
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